—°F Boise, ID
◈ Cross-Vertical Intelligence · Treasure Valley · Boise Standard

Data Center ↔ relates to ↔ Education

9 Wikipedia bridge articles confirmed in both vertical ledgers. 178 deterministic cross-vertical edges. 4,787 external source links harvested. Every edge provenance-stamped. Every claim auditable.

9 QID Bridge Articles
178 Cross Edges
4,787 External Sources
202 Wikipedia Articles
8 🌲 Evergreen
104 🌿 Branch
MEDIUM SIGNAL · refinery-treasurevalley-v1.0.0
◈ Machine-Readable Schema
Deterministic Cross-Vertical Summary
PASS 2 · ZERO LLM
Entities Compared
Data Center
× Education
QID Bridge Articles
9
confirmed Wikipedia overlap
Total Cross Edges
178
External Sources Harvested
4,787
from Wikipedia external links
Geography
Treasure Valley, Ada County, Canyon County, Idaho, United States
Gate Tier
medium
Schema summary only
Strongest Edge
Artificial intelligence
score: 1.0000  ·  type: exact_title_cross  ·  18 shared tokens
QID Bridge Titles (9)
Artificial intelligenceMicron TechnologyTreasure ValleyBoise, IdahoMachine learningAda County, IdahoNampa, IdahoCanyon County, IdahoMeridian, Idaho
Shared Semantics (20 tokens)
boiseidahoadacapitalanalysisartificialdeepintelligencedatamajormicrontechnologylocaltreasurevalleywesternlargestnampaadvancedarchitecture
Pipeline
refinery-treasurevalley-v1.0.0
Generated
2026-07-17 20:18:38 UTC
Content Hash
c1e983106e32e5c9
◈ Wikipedia Bridge Articles
QID Overlap — Confirmed in Both Vertical Ledgers
9 BRIDGES
A
Q11660 EXACT TITLE 1.000
QID OVERLAP: Q11660 in data_center (tier:evergreen) and education (tier:branch). | SHARED TOKENS (18): "advanced", "analysis", "architecture", "artificial", "deep", "environment", "growth", "history", "intelligence", "knowledge", "least", "long-term", "meta", "multiple", "operations", "planning", "software", "support". | EXACT TITLE in data_center: "Artificial intelligence".
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re that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. High-profile applications of AI include advanced web search engines, chatbots, virtual assistants, autonomous vehicles, and play and analysis in strategy games (e.g., chess and Go). Since the 2020s, generative AI has become widely available to generate images, audio, and videos from text prompts. The traditional goals of AI research include learning, reasoning, knowledge representation, planning, natural language processing, and perception, as well as support for robotics. To reach these goals, AI researchers have used techniques including state space search and mathematical optimization, formal logic, artificial neural networks, and methods based on statistics, operations research, and economics. AI also draws upon psychology, linguistics, philosophy, neuroscience, and other fields. Some companies, such as OpenAI, Google DeepMind and Meta, aim to create artificial general intelligence (AGI) – AI that can complete virtually any cognitive task at least as well as a human. Artificial intelligence was founded as an academic discipline in 1956, and the field went through multiple cycles of optimism throughout its history, followed by periods of disappointment and loss of funding, known as AI winters. Funding and interest increased substantially after 2012, when graphics processing units began being used to accelerate neural networks, and deep learning outperformed previous AI techniques. This growth accelerated further after 2017 with the transformer architecture. In the 2020s, an AI boom has coincided with advances in generative AI, which allowed for the creation and modification of media.
AlphaFold 2 (2021) demonstrated the ability to approximate, in hours rather than months, the 3D structure of a protein. In 2023, it was reported that AI-guided drug discovery helped find a class of antibiotics capable of killing two different types of drug-resistant bacteria. In 2024, researchers used machine learning to accelerate the search for Parkinson's disease drug treatments. Their aim was to identify compounds that block the clumping, or aggregation, of alpha-synuclein (the protein that characterises Parkinson's disease). They were able to speed up the initial screening process ten-fold and reduce the cost by a thousand-fold. AI is increasingly being used in medical diagnostics, including the detection of diseases such as lung cancer from medical imaging like CT scans. A 2026 Nature article titled "Dozens of AI disease-prediction models were trained on dubious data" highlighted the use of unreliable data being used to train AI medical prediction models for stroke and diabetes in 125 research articles. Evidence suggested some of the AI tools that were developed on unreliable data had been used on patients, although it was not clear if there were adverse outcomes. Gaming Game playing programs have been used since the 1950s to demonstrate and test AI's most advanced techniques. Deep Blue became the first computer chess-playing system to beat a reigning world chess champion, Garry Kasparov, on 11 May 1997. In 2011, in a Jeopardy! quiz show exhibition match, IBM's question answering system, Watson, defeated the two greatest Jeopardy! champions, Brad Rutter and Ken Jennings, by a significant margin. In March 2016, AlphaGo won 4 out of 5 games of Go in a match with Go champion Lee Sedol, becoming the first computer Go-playing system to beat a professional Go player without handicaps. Then, in 2017, it defeated Ke Jie, who was the best Go player in the world. Other programs handle imperfect-information games, such as the poker-playing program Pluribus. DeepMind developed increasingly generalistic reinforcement learning models, such as with MuZero, which could be trained to play chess, Go, or Atari games. In 2019, DeepMind's AlphaStar achieved grandmaster level in StarCraft II, a particularly challenging real-time strategy game that involves incomplete knowledge of what happens on the map. In 2021, an AI agent competed in a PlayStation Gran Turismo competition, winning against four of the world's best Gran Turismo drivers using deep reinforcement learning.
Artificial intelligence provides a number of tools that are useful to bad actors, such as authoritarian governments, terrorists, criminals or rogue states. A lethal autonomous weapon is a machine that locates, selects and engages human targets without human supervision. Widely available AI tools can be used by bad actors to develop inexpensive autonomous weapons and, if produced at scale, they are potentially weapons of mass destruction. Even when used in conventional warfare, they currently cannot reliably choose targets and could potentially kill an innocent person. In 2014, 30 nations (including China) supported a ban on autonomous weapons under the United Nations' Convention on Certain Conventional Weapons, however the United States and others disagreed. By 2015, over fifty countries were reported to be researching battlefield robots. AI tools make it easier for authoritarian governments to efficiently control their citizens in several ways. Face and voice recognition allow widespread surveillance. Machine learning, operating this data, can classify potential enemies of the state and prevent them from hiding. Recommendation systems can precisely target propaganda and misinformation for maximum effect. Deepfakes and generative AI aid in producing misinformation. Advanced AI can make authoritarian centralized decision-making more competitive than liberal and decentralized systems such as markets. It lowers the cost and difficulty of digital warfare and advanced spyware. All these technologies have been available since 2020 or earlier—AI facial recognition systems are already being used for mass surveillance in China. There are many other ways in which AI is expected to help bad actors, some of which can not be foreseen.
Micron Technology
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QID OVERLAP: Q1197548 in data_center (tier:branch) and education (tier:evergreen). | SHARED TOKENS (13): "boise", "chips", "data", "demand", "dynamic", "high", "idaho", "major", "micron", "semiconductor", "south", "technologies", "technology". | EXACT TITLE in education: "Micron Technology".
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actures computer memory and computer data storage products, including dynamic random-access memory (DRAM), flash memory, High Bandwidth Memory (HBM), and solid-state drives (SSDs). Founded in 1978 in Boise, Idaho, Micron is the only major American computer memory manufacturer. It is one of the "Big Three" computer memory manufacturers, along with the South Korean companies Samsung Electronics and SK Hynix. Micron marketed its consumer products under the brand Crucial, with the sub-brand Ballistix being used to denote products targeting gaming computers, until its disestablishment on 2026. Micron and Intel together created IM Flash Technologies, which produced NAND flash memory. It owned Lexar between 2006 and 2017. Sanjay Mehrotra has served as president and CEO of Micron since 2017. On May 26, 2026, Micron became the latest U.S.
n since 2017. On May 26, 2026, Micron became the latest U.S. company to reach a US$1 trillion market capitalization, amid surging demand for its HBM chips. History 1978–1999 Micron was founded in Boise, Idaho, in 1978 by Ward Parkinson, Joe Parkinson, Dennis Wilson, and Doug Pitman as a semiconductor design consulting company. Startup funding was provided by local Idaho businessmen Tom Nicholson, Allen Noble, Rudolph Nelson, and Ron Yanke. Later it received funding from Idaho billionaire J. R. Simplot, whose fortune was made in the potato business. In 1981, the company moved from consulting to manufacturing with the completion of its first wafer fabrication unit ("Fab 1"), producing 64K DRAM chips. In 1984, the company had its initial public offering. Micron sought to enter the market for RISC processors in 1991 with a product known as FRISC, targeting embedded control and signal processing applications. Running at 80 MHz and described as "a 64-bit processor with fast context-switching time and high floating-point performance", the design supported various features for timely interrupt handling and featured an arithmetic unit capable of handling both integer and floating-point calculations with a claimed throughput of 80 MFLOPS for double-precision arithmetic. Micron aimed to provide a "board-level demonstration supercomputer" in configurations with 256 MB or 1 GB of RAM. Having set up a subsidiary and with the product being designed into graphics cards and accelerators, Micron concluded in 1992 that the effort would not deliver the "best bang for the buck", reassigning engineers to other projects and discontinuing the endeavour. In 1994, founder Joe Parkinson retired as CEO and Steve Appleton took over as Chairman, President, and CEO. A 1996 3-way merger among ZEOS International, Micron Computer, and Micron Custom Manufacturing Services (MCMS) increased the size and scope of the company; this was followed rapidly with the 1997 acquisition of NetFrame Systems, in a bid to enter the mid-range server industry.
Since 2000 In 2000, Gurtej Singh Sandhu and Trung T. Doan at Micron initiated the development of atomic layer deposition high-k films for DRAM memory devices. This helped drive cost-effective implementation of semiconductor memory, starting with 90 nm node DRAM. Pitch double-patterning was also pioneered by Gurtej Singh Sandhu at Micron during the 2000s, leading to the development of 30-nm class NAND flash memory, and it has since been widely adopted by NAND flash and RAM manufacturers worldwide. In 2002, Micron spun off its personal computer business as MPC Corporation and put it up for sale. The company found the business difficult as the number 12 American computer maker with only 1.3 percent of the market. Micron and Intel created a joint venture in 2005, based in IM Flash Technologies in Lehi, Utah. The two companies formed another joint venture in 2011, IM Flash Singapore, in Singapore. In 2012 Micron became sole owner of this second joint venture. In 2006 Micron acquired Lexar, an American manufacturer of digital media products. The company changed leadership again in June 2007 with COO Mark Durcan becoming president. In 2008, Micron converted the Avezzano chip fab, formerly a Texas Instruments DRAM fab, into a production facility for CMOS image sensors sold by Aptina Imaging. In 2008, Micron spun off Aptina Imaging, which was acquired by ON Semiconductor in 2014. Micron retained a stake in the spinoff. However, the core company suffered setbacks and had to layoff 15 percent of its workforce in October 2008, during which period the company also announced the purchase of Qimonda's 35.6 percent stake in Inotera Memories for $400 million. The trend of layoffs and acquisitions continued in 2009 with the termination of an additional 2,000 employees, and the acquisition of the FLCOS microdisplay company Displaytech. Micron agreed to buy flash-chip maker Numonyx for $1.27 billion in stock in February 2010. On February 3, 2012, CEO Appleton died in a plane crash shortly after takeoff from the Boise Airport. He was the pilot and sole occupant of the Lancair IV aircraft. Mark Durcan replaced Appleton as the CEO shortly thereafter, eliminating his former title of president. In 2013, the Avezzano chip fab was sold to LFoundry. In the 2012 to 2014 period, Micron again went through an acquisition-layoff cycle, becoming the majority shareholder of Inotera Memories, purchasing Elpida Memory for $2 billion and the remaining shares in Rexchip, a PC memory chip manufacturing venture between Powerchip and Elpida Memory for $334 million, while announcing plans to lay off approximately 3,000 workers. Through the Elpida acquisition, Micron became a major supplier to Apple Inc. for the iPhone and iPad. In December 2016 Micron finished acquiring the remaining 67 percent of Inotera, making it a 100 percent subsidiary of Micron. In April 2017, Micron announced Sanjay Mehrotra as the new president and CEO to replace Mark Durcan. In June 2017 Micron announced it was discontinuing the Lexar retail removable media storage business and putting some or all of it up for sale. In August of that year the Lexar brand was acquired by Longsys, a flash memory company based in Shenzhen, China. In May 2018, Micron Technology and Intel launched QLC NAND memory to increase storage density. The company ranked 150th on the Fortune 500 list of largest United States corporations by revenue. In February 2019, the first microSD card with a storage capacity of 1 terabyte (TB) was announced by Micron. As of March 2020 3.84TB Micron 5210 Ion is the cheapest large-capacity SSD in the world. In September 2020 the company introduced the world's fastest discrete graphics memory solution. Working with computing technology leader Nvidia, Micron debuted GDDR6X in the Nvidia GeForce RTX 3090 and GeForce RTX 3080 graphics processing units (GPUs). In November 2020, the company unveiled a new 176-layer 3D NAND module. It offers improved read and write latency and is slated to be used in the production of a new generation of solid-state drives. On October 22, 2021, Micron closed the sale of IM Flash's Lehi, Utah fab to Texas Instruments for a sale price of US$900 million. In February 2022, Micron announced that it would discontinue its Ballistix gaming brand. With the passage of the CHIPS and Science Act, Micron announced its pledge to invest billions in new manufacturing within the United States. In September 2022, Micron announced it would invest $15 billion in a new facility in Boise, Idaho. In October 2022, Micron announced a $100 billion expansion in Clay, New York. Micron Technology owed Netlist, Inc. $445 million in damages for infringing Netlist's patents related to memory-module technology for high-performance computing. The jury found that Micron's semiconductor-memory products violated two of Netlist's patents willfully, potentially allowing the judge to triple the damages. Netlist had sued Micron in 2022, accusing three of its memory-module lines of patent infringement, which Micron denied, also arguing the patents' invalidity. The U.S.
Treasure Valley
Q7836726 EXACT TITLE 0.900
QID OVERLAP: Q7836726 in data_center (tier:evergreen) and education (tier:evergreen). | SHARED TOKENS (10): "boise", "commerce", "idaho", "land", "local", "region", "resources", "treasure", "valley", "western". | EXACT TITLE in data_center: "Treasure Valley". | EXACT TITLE in education: "Treasure Valley".
boisecommerceidaholandlocalregionresourcestreasurevalleywestern
The Treasure Valley is a valley in the western United States, primarily in southwestern Idaho, where the Payette, Boise, Weiser, Malheur, and Owyhee rivers drain into the Snake River. It includes all the lowland areas from Vale in rural eastern Oregon to Boise, and is the most populated area in Idaho. Historically, the valley had been known as the Lower Snake River Valley or the Boise River Valley. Pete Olesen, president of the valley's association of local Chambers of Commerce, coined the name "Treasure Valley" in 1959 to reflect the treasure chest of resources and opportunities that the region offered. The valley has a very diverse terrain, from sage flatlands, to mesas, agricultural areas, and urbanized areas.
eflect the treasure chest of resources and opportunities that the region offered. The valley has a very diverse terrain, from sage flatlands, to mesas, agricultural areas, and urbanized areas. As the Boise Metropolitan Area grows, more and more undeveloped and agricultural land is being urbanized. History Settling the region The tribes that roamed the area, specifically, were the Northern Paiute and Shoshone. In 1834, Thomas McKay built the original Fort Boise, in the area near present-day Parma, which was run for a time by Francois Payette. It later was moved because of flooding troubles and was abandoned in 1854. The Oregon Trail runs through the Treasure Valley. The valley was settled for the most part by ranchers and farmers, initially to supply the gold and silver mining communities in the higher elevations nearby: Idaho City in the Boise Basin and Silver City in the Owyhees. A new Fort Boise was constructed by the U.S. Army in 1863 in present-day Boise, from which the city grew.
icultural land is being urbanized. History Settling the region The tribes that roamed the area, specifically, were the Northern Paiute and Shoshone. In 1834, Thomas McKay built the original Fort Boise, in the area near present-day Parma, which was run for a time by Francois Payette. It later was moved because of flooding troubles and was abandoned in 1854. The Oregon Trail runs through the Treasure Valley. The valley was settled for the most part by ranchers and farmers, initially to supply the gold and silver mining communities in the higher elevations nearby: Idaho City in the Boise Basin and Silver City in the Owyhees. A new Fort Boise was constructed by the U.S. Army in 1863 in present-day Boise, from which the city grew.
Boise, Idaho
Q35775 QID OVERLAP 0.740
QID OVERLAP: Q35775 in data_center (tier:branch) and education (tier:branch). | SHARED TOKENS (12): "ada", "annual", "boise", "capital", "downtown", "idaho", "major", "manufacturing", "micron", "technology", "treasure", "valley".
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Boise (locally also ) is the capital and most populous city in the U.S. state of Idaho. It is the county seat of Ada County. The population of the city was 235,685 at the 2020 census. The Boise metropolitan area, located in the Treasure Valley, includes five counties of Idaho with an estimated population of 846,000, the most populous metropolitan area in Idaho and 95th-most populous in the United States. Located on the Boise River in southwestern Idaho, it is 41 miles (66 km) east of the Oregon border and 110 miles (177 km) north of the Nevada border. Downtown Boise's elevation is 2,704 feet (824 m) above sea level. Boise is home to major employers in the technology, manufacturing, and service sectors, including companies such as Micron Technology and Hewlett-Packard.
an area in Idaho and 95th-most populous in the United States. Located on the Boise River in southwestern Idaho, it is 41 miles (66 km) east of the Oregon border and 110 miles (177 km) north of the Nevada border. Downtown Boise's elevation is 2,704 feet (824 m) above sea level. Boise is home to major employers in the technology, manufacturing, and service sectors, including companies such as Micron Technology and Hewlett-Packard.
...that the military should continue killing Indians 'until the last Indian in the Territories was either on his reservation or enriched the sagebrush with his decaying carcass.' ...if the Indians refused to move there, 'they will be killed or put on the reservation by force, and certainly shot if they don't stay there.' Furthermore, the editor continues, 'The idea that the Indians have any right to the soil is ridiculous. ...They have no more rights to the soil of the Territories of the United States than wolves or coyotes...' This would be our plan of establishing friendship upon an eternal basis with our Indians: Let all the hostile bands of Idaho Territory be called in (they will not be caught in any other manner) to attend a grand treaty; plenty of blankets and nice little trinkets distributed among them; plenty of grub on hand; have a real jolly time with them; then just before the big feast put strychnine in their meat and poison to death the last mother's son of them. At the same time, native warriors around the valley, under the leadership of Howluck also known as "Bigfoot" among white settlers, among others, waged an escalating and intensified guerrilla campaign of harassment of passerby caravans along the Oregon Trail. The United States Army also escalated and intensified "punitive expeditions" against formations of warriors and against civilian communities as well. This marked the start of the "unofficial" Snake War in 1866. This war lasted until 1868, and is statistically the deadliest of the Indian Wars in the West in terms of casualties. In the end, 1,762 men were counted as the casualties of this war from both sides. In 1868, Fort Hall Indian Reservation was established in Southeastern Idaho, about 220 miles upstream, according to the terms of Fort Bridger Treaty. The Boise Valley Shoshone and Bannock Tribes were not party to this treaty. Nevertheless, in April 1869, the United States Military embarked on a campaign of "Removal, rounding up of natives in the region including in and around Boise, and expelling them with cavalry escort to Fort Hall Indian Reservation. This period is known among the Shoshone and Bannock people as Idaho's Trail of Tears. Some of the natives managed to escape, and they ran to either Duck Valley or Fort McDermitt in Nevada. Incorporation and growth Boise's early growth was significantly driven by its role in supplying the nearby gold towns that sprung up in the 1860s northeast and then southwest of the town. Miners sometimes wintered in Boise and a number of early prominent businessmen were miners who settled in town in the years after the gold rush waned. By 1864 substantial agricultural production was underway on easily irrigated lands near the river and three canal companies had been incorporated. Early transportation improvements were largely a result of toll road franchises awarded by the territorial legislature starting in the 1860s. These first ran from Fort Boise to the mining centers in the Boise Basin and east to Rocky Bar and to Rattlesnake Station where they connected to the Oregon Trail. Territorial census records from a special 1864 enumeration list the population of Boise as 1,658, and an act of December 12, 1864, was the first attempt by the Idaho Territorial Legislature to incorporate the city. This was rejected by voters the following March. Two more unsuccessful attempts were made to organize a city administration by election before the 1866 version of the city charter was approved by voters on January 6, 1868. The growing number of homes and businesses, for which owners wanted proper legal title, may have contributed to the eventual success of incorporation. All of these rejected efforts to incorporate the city came after Boise had been controversially made the state capital in 1864 over strong opposition from northern Idaho interests. This decision reflected the rapid shift of population growth from north to south after the discovery of gold in southern Idaho. By 1868 Boise had over 400 permanent buildings with a wide range of commercial services. 1868 also marked the formal beginning of a long advocacy for railroad connections to other Idaho communities and, just as importantly, to other growing cities in the west such as Portland, Oregon. Competing railroad and western state government interests frustrated these efforts for many years. Designed by Alfred B. Mullett, the U.S. Assay Office at 210 Main Street was built in 1871 and today is a National Historic Landmark. It first began accepting gold and silver for purchase on March 2, 1872, largely eliminating the need to transport ore to the mint in San Francisco. A territorial penitentiary, now known as the Old Idaho State Penitentiary, opened the same month several miles east of town. Mining continued to be important to Boise's economic growth and periodic booms contributed to population growth as well, though production of gold and silver probably peaked in the 1860s. 1882's gold and silver production of $3,500,000 declined to $1,488,315 (including lead) by 1899. Boise began to earn its City of Trees nickname in this period with a popular focus on a range of tree planting projects. Thomas J. Davis planted several thousand fruit trees in 1864 and several other early businessmen either founded nurseries or orchards of their own. In the 1870s tree planting began in earnest in downtown Boise led by prominent hotels as well as businessmen and residents. In 1907 Davis donated 43 acres of his orchard property to the city for use as a park in the name of his wife Julia. Commercial agriculture continued to expand, but was slowed by the lack of reliable rail links to regional and national markets and by a lack of large scale irrigation projects, which themselves were often tied to hoped-for railroad projects for financing. A.D. Foote, a successful mining engineer, drew up plans to irrigate up to 500,000 acres immediately south of Boise in 1882, but progress was halting and smaller farms were the norm until after the turn of the century with most located near to the river bottom where soil was productive and irrigation more easily achieved. Fruit orchards proliferated and sugar beets, still an important agricultural industry in Idaho, began to be widely cultivated in the 1890s. Cattle and sheep farming became increasingly important as the century closed. With the exception of dairy, most livestock products were exported from Idaho, unlike other agricultural products which were still largely scaled to support local markets. The timber industry also increasingly thrived in the Boise market in the 1880s and 1890s. Large quantities of timber were exported from elsewhere in Idaho, but a growing Boise supported the expansion of Alexander Rossi's sawmill, first established in 1865. Prominent early Boisean William Ridenbaugh had inherited control of the canal now bearing his name from his uncle William Morris in 1878 and later partnered with Rossi to expand the sawmill capacity under the name Rossi and Ridenbaugh Lumber Company. Their materials supported bridge building and the rapid expansion of Boise in the 1890s. As with many early infrastructure ventures, electrification succeeded only after at least one false start. July 4, 1887, marked the start of electrical transmission from a plant located on the Bench. William Ridenbaugh provided expertise and manpower for the water supply and several months were spent rigging poles and lines from the Bench to the service area across the river. Additional electrical supplies allowed the building of an electric streetcar line in 1891. This ran without interruption until buses replaced the lines in 1927, tracking—and sometimes driving—the development of Boise and nearby communities. This system expanded over several decades, reaching into the North End, South Boise and across the river on Front St. A loop line, completed in 1912, ran as far as Caldwell and Nampa, providing transport throughout the valley. Three early trolley companies merged in 1912 to form the Idaho Traction Company with a depot at 7th and Bannock Streets downtown. Additional services and urban amenities arrived in the 1890s as Boise grew. Exploratory drilling for hot water was successful in 1890 and by the end of the decade many homes along Warm Springs avenue were being heated by this source. A natatorium was built in 1892 close to the source of the hot water near the Idaho State Penitentiary. Churches serving several denominations, a Jewish synagogue, a major hardware store and department store, a Masonic hall, the Columbia Theater, Saint Alphonsus' Hospital, a number of parochial and secular schools, a City Hall and a new Union Pacific passenger station, constructed when service was finally extended to downtown, were all built during the 1890s. Falk's Department Store sponsored a semi-professional baseball team representing Boise from at least 1892 and the city supported other organized sports as they became popular.
M
Q2539 QID OVERLAP 0.640
QID OVERLAP: Q2539 in data_center (tier:branch) and education (tier:branch). | SHARED TOKENS (7): "analysis", "artificial", "data", "deep", "development", "explicitly", "intelligence".
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learning approaches in performance. Statistics and mathematical optimisation methods compose the foundations of machine learning. Data mining is a related field of study, focusing on exploratory data analysis (EDA) through unsupervised learning. From a theoretical viewpoint, probably approximately correct learning provides a mathematical and statistical framework for describing machine learning.
Data mining Machine learning and data mining often employ the same methods and overlap significantly, but while machine learning focuses on prediction based on known properties learned from the training data, data mining focuses on the discovery of previously unknown properties in the data (this is the analysis step of knowledge discovery in databases). Data mining uses many machine learning methods, but with different goals; on the other hand, machine learning also employs data mining methods as "unsupervised learning" or as a preprocessing step to improve learner accuracy. Much of the confusion between these two research communities comes from the basic assumptions they work with: in machine learning, performance is usually evaluated with respect to the ability to reproduce known knowledge, while in knowledge discovery and data mining (KDD) the key task is the discovery of previously unknown knowledge. Evaluated with respect to known knowledge, an uninformed (unsupervised) method will easily be outperformed by other supervised methods, while in a typical KDD task, supervised methods cannot be used due to the unavailability of training data. Machine learning also has intimate ties to optimization: Many learning problems are formulated as minimisation of some loss function on a training set of examples.
Statistics Machine learning and statistics are closely related fields in terms of methods, but distinct in their principal goal: statistics draws population inferences from a sample, while machine learning finds generalisable predictive patterns. Conventional statistical analyses require the a priori selection of a model most suitable for the study data set. In addition, only significant or theoretically relevant variables based on previous experience are included for analysis. In contrast, machine learning is not built on a pre-structured model; rather, the data shape the model by detecting underlying patterns.
Ada County, Idaho
Q109820 QID OVERLAP 0.640
QID OVERLAP: Q109820 in data_center (tier:evergreen) and education (tier:evergreen). | SHARED TOKENS (7): "ada", "boise", "capital", "idaho", "largest", "local", "private".
adaboisecapitalidaholargestlocalprivate
Ada County is located in the southwestern part of Idaho, United States. As of the 2020 census, the county had a population of 494,967, which by 2025 was estimated to have risen to 546,141. Ada County is by far the state's most populous county; it is home to 26.8% of the state's population. The county seat and largest city is Boise, which is also the state capital. Ada County is included in the Boise metropolitan area. The Ada County Highway District has jurisdiction over all the local county and city streets, except for private roads and state roads.
populous county; it is home to 26.8% of the state's population. The county seat and largest city is Boise, which is also the state capital. Ada County is included in the Boise metropolitan area. The Ada County Highway District has jurisdiction over all the local county and city streets, except for private roads and state roads.
ea. The Ada County Highway District has jurisdiction over all the local county and city streets, except for private roads and state roads. In the interior Pacific Northwest east of the Cascade Range, Ada County ranks second in population, behind Spokane County, Washington. History Ada County was created by the Idaho Territory legislature on December 22, 1864, partitioned from Boise County. It is named for Ada Riggs, the daughter of H. C. Riggs, a member of the legislature; he established the county and was a co-founder of Boise.
Nampa, Idaho
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QID OVERLAP: Q622633 in data_center (tier:branch) and education (tier:branch). | SHARED TOKENS (6): "boise", "footprint", "idaho", "nampa", "west", "western".
boisefootprintidahonampawestwestern
pa ( ) is the most populous city in Canyon County, Idaho, United States. The population was 100,200 at the 2020 census. It is Idaho's third-most populous city. Nampa is about 20 miles (32 km) west of Boise along Interstate 84, and 6 miles (9.7 km) west of Meridian. It is the second principal city of the Boise metropolitan area. The name "Nampa" may have come from a Shoshoni word meaning 'moccasin' or 'footprint'. According to toponymist William O. Bright, the name comes from the Shoshoni word /nampai/, meaning "foot".
History Nampa had its beginnings in the early 1880s when the Oregon Short Line Railroad built a line from Granger, Wyoming, to Huntington, Oregon, that passed through Nampa. In Nampa there is a history museum that marks the railroad's significance. More railroad lines sprang up through Nampa, making it an important railroad town. Alexander and Hannah Duffes established one of the town's first homesteads, eventually forming the Nampa Land and Improvement Company with the help of their friend and co-founder, James McGee. Despite the name, many early settlers called the town "New Jerusalem" because of its citizens' strong religious focus. After only a year the town grew from 15 homes to 50. As amenities were added, Nampa continued to grow, and it was incorporated in 1891. Downtown Nampa's street grid is oriented with the railroad tracks, which run northwest–southeast; this was done intentionally by Alexander Duffes to prevent accidents like one that occurred earlier in a town he had platted near Toronto, where a woman and her two children were killed by a train when their buggy wheel got stuck as they crossed the tracks. As the Oregon Short Line railroad originally bypassed Boise, Nampa has the fanciest of many railroad depots built in the area. Nampa gained attention in 1889 due to a purported archaeological discovery known as the Nampa figurine. George Frederick Wright wrote up details that year for the Boston Society of Natural History. The first elementary school was built in the 1890s. Lakeview School was on a hill on 6th Street and 12th Avenue North, with a view of Lake Ethel. Just after the school's centennial celebration, it was condemned as a school and sold to the First Mennonite Church. In 2008 the building was refurbished, and it is now used by the Idaho Arts Charter School. Lake Ethel, an irrigation reservoir, had long been the site of community picnics, and many citizens fished, swam, boated, and even hunted on it and its surrounding property. But the hunting didn't last long, as O. F. Persons, owner of the adjoining homestead, took offense when local hunters started shooting his pet ducks. The city later auctioned off the lake. E. H. Dewey (a former Nampa mayor) was the only bidder. But occasional flooding led to a series of lawsuits from neighbors. Dewey eventually drained Lake Ethel. Not long after, the city council became interested in buying back the Fritz Miller property as well as the Dewey home. Pressure had been building for more than four years. Nampa citizens wanted another park. On August 7, 1924, the city council passed an ordinance to purchase the Miller property and name it Lakeview Park. A bandstand was completed in 1928, and the municipal swimming pool opened on August 13, 1934. It is Nampa's largest park and many community celebrations are held there. Colonel William H. Dewey, a man who made a fortune mining in Silver City, built the Dewey Palace Hotel in 1902 for $250,000. He died in his hotel in 1903, leaving his son $1 million. The hotel survived the great fire of 1909, which burned several blocks of downtown Nampa, but was razed in 1963 after redevelopment plans failed. Relics from the hotel such as the chandelier and the hotel safe can be found at the Canyon County Historical Museum, which is in the old train depot on Front Street and Nampa City Hall. After demolition the location on First Street between 11th and 12th Ave. South was sold to private enterprise, including a bank and tire store, replacing this building with modern structures. A public-use postage stamp sized park was later placed across the street from the old palace property as a collaboration between the Downtown Alliance of Nampa (the local business council) and an Eagle Scout Project for the Boy Scouts of America. The park includes a large mural/wall sculpture of running horses commissioned for the project. A Carnegie library was built downtown in 1908; it burned down after the library moved in 1966. Nampa Public Library was then on the corner of 1st Street and 11th Avenue South in the old bank building. A new library, on 12th Avenue South, opened in 2015. Deer Flat Reservoir, an offstream irrigation storage reservoir, was constructed by the United States Bureau of Reclamation between 1906 and 1911. Known locally as Lake Lowell, it is surrounded by the Deer Flat National Wildlife Refuge, established in 1909 by President Theodore Roosevelt. The refuge is administered by the U.S. Fish and Wildlife Service. Lake Lowell is filled by the concrete New York Canal; the water is diverted from the Boise River a few miles below Lucky Peak Dam. In 1910, the Idaho State School and Hospital was built northwest of Nampa for the state's developmentally challenged population. It opened in 1918. The institution was largely self-sufficient, with a large farm staffed by the residents. The higher-functioning residents also cared for residents who could not care for themselves. The land for the farm was sold and is now golf courses (Centennial and Ridgecrest), and the residents no longer give primary care to other residents. The institution is modernized and remains in operation, though a few of the oldest buildings now house juvenile offenders. Nampa held an annual harvest festival and farmers' market from about 1908, a time of celebration and community fun. From this festival emerged the Snake River Stampede Rodeo in 1937, which continues to this day. It is one of the top 12 rodeos in the pro rodeo circuits. In 1913, a local congregation of the Church of the Nazarene built a small elementary school, which became to Northwest Nazarene College in 1915 and finally Northwest Nazarene University. As of 2025, the university has approximately 1,800 undergraduate and graduate students. Karcher Mall opened in 1965, the first enclosed shopping mall in the Treasure Valley. It was "the place to gather" for several decades until the Boise Towne Square mall was built in Boise in 1988, drawing business away. Karcher Mall was renamed District 208 in 2022. The Idaho Press-Tribune is the local newspaper for the Canyon County area.
along Interstate 84, and 6 miles (9.7 km) west of Meridian. It is the second principal city of the Boise metropolitan area. The name "Nampa" may have come from a Shoshoni word meaning 'moccasin' or 'footprint'. According to toponymist William O. Bright, the name comes from the Shoshoni word /nampai/, meaning "foot".
Canyon County, Idaho
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105, which by 2025 was estimated to have risen to 275,123, making it the second-most populous county in Idaho. The county seat is Caldwell, and its largest city is Nampa. Canyon County is part of the Boise metropolitan area. History Hudson's Bay Company established Fort Boise in 1834 near what is now Parma, but abandoned it in 1855. Emigrants traveled through Canyon County on the Oregon Trail. Discovery of gold in the Boise Basin in 1862 brought settlement to the region again. The lower Boise River was fully contained within Boise County from 1863 until the formation of Ada County in 1864. Settlement of the lower Boise River west of Boise City was limited prior to the completion of the Oregon Short Line Railroad. Middleton was the first European settlement of Canyon County, starting in 1863. The 1870 Census for Ada County listed 76 residents of the Boise Valley, excluding Boise City and the 1880 Census listed 44 residents at Middleton. The arrival of the railroad at Caldwell led to the establishment of a town there as of August 1883. Businessmen James A. McGee and Alexander Duffes filed the plat for nearby Nampa in 1886. Parma was settled around the same time, with the Old Fort Boise post office being moved to the town's location; it was incorporated in 1904. Ada County established precincts for each of the settlements with a combined 1890 Census population of 2,311. Significant settlement of Greenleaf and Notus started around 1904 with the two settlements listed as precincts at the 1910 census. Notus was incorporated in 1921 while Greenleaf was incorporated prior to 1980. Melba was incorporated in 1912 while Wilder was incorporated in 1919. The City of Star annexed a portion of territory in northeast Canyon County prior to 2007, becoming the county's ninth incorporated city. The majority of Star is located within Ada County. The Idaho Legislature created Canyon County from Ada County in an act approved March 7, 1891, effective at the November 26, 1892, election. Caldwell was established as the county seat. The county originally contained all of Canyon and Payette counties and part of Gem; Gem County formed in 1915 and Payette County in 1917.
History Hudson's Bay Company established Fort Boise in 1834 near what is now Parma, but abandoned it in 1855. Emigrants traveled through Canyon County on the Oregon Trail. Discovery of gold in the Boise Basin in 1862 brought settlement to the region again. The lower Boise River was fully contained within Boise County from 1863 until the formation of Ada County in 1864. Settlement of the lower Boise River west of Boise City was limited prior to the completion of the Oregon Short Line Railroad. Middleton was the first European settlement of Canyon County, starting in 1863. The 1870 Census for Ada County listed 76 residents of the Boise Valley, excluding Boise City and the 1880 Census listed 44 residents at Middleton. The arrival of the railroad at Caldwell led to the establishment of a town there as of August 1883. Businessmen James A. McGee and Alexander Duffes filed the plat for nearby Nampa in 1886. Parma was settled around the same time, with the Old Fort Boise post office being moved to the town's location; it was incorporated in 1904. Ada County established precincts for each of the settlements with a combined 1890 Census population of 2,311. Significant settlement of Greenleaf and Notus started around 1904 with the two settlements listed as precincts at the 1910 census. Notus was incorporated in 1921 while Greenleaf was incorporated prior to 1980. Melba was incorporated in 1912 while Wilder was incorporated in 1919. The City of Star annexed a portion of territory in northeast Canyon County prior to 2007, becoming the county's ninth incorporated city. The majority of Star is located within Ada County. The Idaho Legislature created Canyon County from Ada County in an act approved March 7, 1891, effective at the November 26, 1892, election. Caldwell was established as the county seat. The county originally contained all of Canyon and Payette counties and part of Gem; Gem County formed in 1915 and Payette County in 1917.
2000 census As of the 2000 census, there were 131,441 people, 45,018 households and 33,943 families living in the county. The population density was 223 people per square mile (86 people/km2). There were 47,965 housing units at an average density of 81 units per square mile (31 units/km2). The racial makeup of the county was 83.10% White, 0.32% Black or African American, 0.85% Native American, 0.80% Asian, 0.13% Pacific Islander, 12.17% from other races, and 2.62% from two or more races. Hispanic or Latino of any race were 18.61% of the population. 15.9% were of German, 12.7% English, 10.3% American and 7.6% Irish ancestry. There were 45,018 households, of which 39.80% had children under the age of 18 living with them, 60.70% were married couples living together, 10.10% had a female householder with no husband present, and 24.60% were non-families. 19.80% of all households were made up of individuals, and 8.40% had someone living alone who was 65 years of age or older. The average household size was 2.85 and the average family size was 3.28. 30.90% of the population were under the age of 18, 10.70% from 18 to 24, 28.30% from 25 to 44, 19.10% from 45 to 64, and 11.00% who were 65 years of age or older. The median age was 30 years. For every 100 females, there were 98.70 males. For every 100 females age 18 and over, there were 96.30 males. The median household income was $35,884 and the median family income was $40,377. Males had a median income of $29,418 compared with $22,044 for females. The per capita income for the county was $15,155. About 8.70% of families and 12.00% of the population were below the poverty line, including 14.50% of those under age 18 and 10.70% of those age 65 or over. Communities Cities Unincorporated communities Bowmont Huston Roswell Sunnyslope Walters Ferry, Idaho Politics Like the majority of Idaho, Canyon County is reliably Republican by comfortable margins. The last time a Democratic candidate carried the county was in 1936 by Franklin D. Roosevelt.
Meridian, Idaho
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Meridian is a city located in Ada County, Idaho, United States. The population was 117,635 at the 2020 census, making it the second most populous city in the county and Idaho, after Boise, the state capital.
Rail transportation (1908–28) Following the raising of $4,000 to lay the Interurban rail line from Onweiler (Meridian and Ustick Roads), the tracks were completed into the village center. Turning east on Broadway and ending at East Second, the last car would spend the night in Meridian before returning to Boise early the next morning with passengers and freight. The interurban Station and Generator building (west one-third of the old library at Meridian and Idaho Streets) was built in 1912, and the line continued on to Nampa via Meridian. The tracks down Broadway were not used after 1912. The Interurban Company entered into receivership and closed in 1928 after 20 years of providing continuous transportation to neighboring towns. It was Meridian's main connection to the area outside the local community. The Union Pacific Railroad spur opened in 1900 and is currently operated by the Boise Valley Railroad. Many industrial customers continue to ship forest, agricultural, and chemical products along this corridor. Creamery (1929–70) The city's official website describes the history of the Ada County Dairymen's cooperative creamery as follows:The lowest days of the Great Depression brightened for area dairymen when the Ada County Dairymen's cooperative creamery began operation in 1929. It provided milk checks to those who were members of the cooperative, enabling them to pay their taxes and provide food for their families. Other community members hauled milk to the creamery and were employed by the creamery, whose product was Challenge Butter. The creamery ran seven days a week for 40 years. Additions and improvements were made while the plant was in full operation. Later years saw the Wyeth Laboratories affiliate with the creamery to manufacture SMA baby formula.
Creamery (1929–70) The city's official website describes the history of the Ada County Dairymen's cooperative creamery as follows:The lowest days of the Great Depression brightened for area dairymen when the Ada County Dairymen's cooperative creamery began operation in 1929. It provided milk checks to those who were members of the cooperative, enabling them to pay their taxes and provide food for their families. Other community members hauled milk to the creamery and were employed by the creamery, whose product was Challenge Butter. The creamery ran seven days a week for 40 years. Additions and improvements were made while the plant was in full operation. Later years saw the Wyeth Laboratories affiliate with the creamery to manufacture SMA baby formula.
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0.420
developmenteconomicgrowthincreasesinfrastructurelocalpolicyprocessregionsocialwest
SHARED TOKENS (11): "development", "economic", "growth", "increases", "infrastructure", "local", "policy", "process", "region", "social", "west". | EXACT TITLE in data_center: "Economic development".
0.420
analysisdistincthistorylawpointpoliticalriserolescientificsignificantsocial
SHARED TOKENS (11): "analysis", "distinct", "history", "law", "point", "political", "rise", "role", "scientific", "significant", "social". | EXACT TITLE in education: "Political science".
0.420
accountingadditionalanalyticsboisefinancialfintechidahoinvestmentofficessaastechnology
SHARED TOKENS (11): "accounting", "additional", "analytics", "boise", "financial", "fintech", "idaho", "investment", "offices", "saas", "technology". | EXACT TITLE in education: "Clearwater Analytics".
0.420
additionalfacilitiesfinancialinstitutionsmajormovenationalprogramschoolschoolssupport
SHARED TOKENS (11): "additional", "facilities", "financial", "institutions", "major", "move", "national", "program", "school", "schools", "support". | EXACT TITLE in education: "NCAA Division I".
0.410
idahonampaprivate
SHARED TOKENS (3): "idaho", "nampa", "private". | URL->B (1): https://nnu.edu/. | EXACT TITLE in education: "Northwest Nazarene University".
0.400
endhighmajornationalprofessionalschoolschoolssinglesouthsupport
SHARED TOKENS (10): "end", "high", "major", "national", "professional", "school", "schools", "single", "south", "support". | EXACT TITLE in education: "College football".
0.400
cleanconservationeducationenvironmentidahoprofessionalprogramspublicsupportswater
SHARED TOKENS (10): "clean", "conservation", "education", "environment", "idaho", "professional", "programs", "public", "supports", "water". | EXACT TITLE in data_center: "Idaho Conservation League".
0.400
differenteducationhighhigherinstitutionspolicyprogramsschooltypeworkforce
SHARED TOKENS (10): "different", "education", "high", "higher", "institutions", "policy", "programs", "school", "type", "workforce". | EXACT TITLE in education: "Community college".
0.400
capitalconnectiondesignedelectricalenergysizespecificspecificallysupplysupport
SHARED TOKENS (10): "capital", "connection", "designed", "electrical", "energy", "size", "specific", "specifically", "supply", "support". | EXACT TITLE in data_center: "Diesel generator".
0.380
boiseestablishedhighidahomainofficesprofessionalpublicschools
SHARED TOKENS (9): "boise", "established", "high", "idaho", "main", "offices", "professional", "public", "schools". | EXACT TITLE in education: "University of Idaho".
0.380
capacityeducationhighermattersmodelpoliticalprofessionalrisesocial
SHARED TOKENS (9): "capacity", "education", "higher", "matters", "model", "political", "professional", "rise", "social". | EXACT TITLE in education: "Academic freedom".
0.380
Site selection ↗ EXACT TITLE
businesscorporatedatafacilitygovernmentnationaloperationsprojectsite
SHARED TOKENS (9): "business", "corporate", "data", "facility", "government", "national", "operations", "project", "site". | EXACT TITLE in data_center: "Site selection".
0.380
distincteducationestablishedexperiencehighreadinessschoolspecificwork
SHARED TOKENS (9): "distinct", "education", "established", "experience", "high", "readiness", "school", "specific", "work". | EXACT TITLE in education: "Adult learner".
0.380
Ericsson ↗ Q52618 EXACT TITLE
bankdevelopmentindustryinformationinfrastructureinvestmentmajorsoftwaretechnology
SHARED TOKENS (9): "bank", "development", "industry", "information", "infrastructure", "investment", "major", "software", "technology". | EXACT TITLE in education: "Ericsson".
0.380
Pharmacy ↗ Q614304 EXACT TITLE
eitherindustriesinformationmonitoringofficeprimaryprofessionalscientificwork
SHARED TOKENS (9): "either", "industries", "information", "monitoring", "office", "primary", "professional", "scientific", "work". | EXACT TITLE in education: "Pharmacy".
0.380
educationgovernmentnationaloperatedprivatepublicregionsignificantspecific
SHARED TOKENS (9): "education", "government", "national", "operated", "private", "public", "region", "significant", "specific". | EXACT TITLE in education: "Public university".
0.360
Colocation ↗ EXACT TITLE
businesscentercomputingdataofficesinglestructuresystem
SHARED TOKENS (8): "business", "center", "computing", "data", "office", "single", "structure", "system". | EXACT TITLE in data_center: "Colocation".
0.360
educationeitheridahomajorpeakprivateprofessionalprograms
SHARED TOKENS (8): "education", "either", "idaho", "major", "peak", "private", "professional", "programs". | EXACT TITLE in education: "College of Idaho".
0.360
completioneducationexperienceknowledgephysicalschoolspecifictraining
SHARED TOKENS (8): "completion", "education", "experience", "knowledge", "physical", "school", "specific", "training". | EXACT TITLE in education: "Residency (medicine)".
0.360
designeitherformerincreaseslawmovethemtotal
SHARED TOKENS (8): "design", "either", "former", "increases", "law", "move", "them", "total". | EXACT TITLE in data_center: "Air cooling".
0.340
applicationaverageinformationpointprocessschoolspecific
SHARED TOKENS (7): "application", "average", "information", "point", "process", "school", "specific". | EXACT TITLE in education: "College application".
0.340
HP Inc. ↗ Q21404084 EXACT TITLE
businessinformationoriginalrevenueservingtechnologytotal
SHARED TOKENS (7): "business", "information", "original", "revenue", "serving", "technology", "total". | EXACT TITLE in education: "HP Inc.".
0.340
Law school ↗ Q1321960 EXACT TITLE
centereducationlawprocessprofessionalschoolsystem
SHARED TOKENS (7): "center", "education", "law", "process", "professional", "school", "system". | EXACT TITLE in education: "Law school".
0.340
FAFSA ↗ Q5424324 EXACT TITLE
applicationcompletedcurrentdifferentfinancialprivateprofile
SHARED TOKENS (7): "application", "completed", "current", "different", "financial", "private", "profile". | EXACT TITLE in education: "FAFSA".
0.320
laborprofessionalsignificantlysystemtrainingworking
SHARED TOKENS (6): "labor", "professional", "significantly", "system", "training", "working". | EXACT TITLE in education: "Apprenticeship".
0.320
differentirrigationlawphysicalsourcewater
SHARED TOKENS (6): "different", "irrigation", "law", "physical", "source", "water". | EXACT TITLE in data_center: "Water right".
0.320
boisecenterfacilitiesidahoofficerecovery
SHARED TOKENS (6): "boise", "center", "facilities", "idaho", "office", "recovery". | EXACT TITLE in education: "The Peregrine Fund".
0.320
Disaster recovery ↗ EXACT TITLE
informationinfrastructureplanprofessionalrecoverytechnology
SHARED TOKENS (6): "information", "infrastructure", "plan", "professional", "recovery", "technology". | EXACT TITLE in data_center: "Disaster recovery".
0.300
governmentinstitutionsprimarysupportsystem
SHARED TOKENS (5): "government", "institutions", "primary", "support", "system". | EXACT TITLE in education: "Criminal justice".
0.300
bankeducationeitherestablishedestatefinancialhigherinstitutionslargestpolicyprivatepublicrealresourcesschoolsserveservingspecificstructure
SHARED TOKENS (19): "bank", "education", "either", "established", "estate", "financial", "higher", "institutions", "largest", "policy", "private", "public", "real", "resources", "schools", "serve", "serving", "specific", "structure".
0.300
advancededucationestablishedexpansionhighhigherinformationinstitutionslandlawledopeningpoliticalpracticalprivatepublicschoolschoolsscientificsupport
SHARED TOKENS (23): "advanced", "education", "established", "expansion", "high", "higher", "information", "institutions", "land", "law", "led", "opening", "political", "practical", "private", "public", "school", "schools", "scientific", "support"....
0.300
highinstitutionslessprogramsschool
SHARED TOKENS (5): "high", "institutions", "less", "programs", "school". | EXACT TITLE in education: "Dual enrollment".
0.300
additionalapplicationcomputingcostdevelopmenteitherenvironmentincreasesinfrastructuremainmodeloperatingphysicalplatformproviderresourcesrevenuesaassoftwarespecific
SHARED TOKENS (20): "additional", "application", "computing", "cost", "development", "either", "environment", "increases", "infrastructure", "main", "model", "operating", "physical", "platform", "provider", "resources", "revenue", "saas", "software", "specific".
0.300
analyticsapplicationcenterscriticaldatadifferentendhighindustriesintelligencelayerlivenetworkservesocialsoftwaretechnologies
SHARED TOKENS (17): "analytics", "application", "centers", "critical", "data", "different", "end", "high", "industries", "intelligence", "layer", "live", "network", "serve", "social", "software", "technologies".
0.300
Peak demand ↗ Q3393666 KW CROSS HIGH
annualaveragecapacitycostdemandelectricalenergyhighhigheroperatingpeakpointrenewablesignificantlysinglesupply
SHARED TOKENS (16): "annual", "average", "capacity", "cost", "demand", "electrical", "energy", "high", "higher", "operating", "peak", "point", "renewable", "significantly", "single", "supply".
0.300
businesselectricalgenerationidahopurchased
SHARED TOKENS (5): "business", "electrical", "generation", "idaho", "purchased". | EXACT TITLE in data_center: "Idaho Power".
0.300
designedeconomiceducationformerlyhigherknowledgeschoolschoolsscientificsocialspecificspecificallytechnicaltechnologytrainingtype
SHARED TOKENS (16): "designed", "economic", "education", "formerly", "higher", "knowledge", "school", "schools", "scientific", "social", "specific", "specifically", "technical", "technology", "training", "type".
0.300
appliedcentralconservationdesigndevelopmenteconomicendenvironmentalfacilitiesfuturelandnorthernoptionsphysicalplanplanningprocessprojectregionalresources
SHARED TOKENS (24): "applied", "central", "conservation", "design", "development", "economic", "end", "environmental", "facilities", "future", "land", "northern", "options", "physical", "plan", "planning", "process", "project", "regional", "resources"....
0.300
applicationartificialaverageeducationhighhigherincreaseinstitutionsintelligencemajormillionmultipleoctoberonlineprivateprocessprogramspublicrevenuerise
SHARED TOKENS (24): "application", "artificial", "average", "education", "high", "higher", "increase", "institutions", "intelligence", "major", "million", "multiple", "october", "online", "private", "process", "programs", "public", "revenue", "rise"....
0.300
additionalbuildingconservationcurrentdevelopmentenergyfebruarygovernmentnationalofficesphysicalpolicyprogramprojectsystem
SHARED TOKENS (15): "additional", "building", "conservation", "current", "development", "energy", "february", "government", "national", "offices", "physical", "policy", "program", "project", "system".
0.300
idahointermountainoperatedpublicwater
SHARED TOKENS (5): "idaho", "intermountain", "operated", "public", "water". | EXACT TITLE in data_center: "Idaho Public Utilities Commission".
0.300
accessbeginningbusinessbusinessesbuyingcenterscomputingdataformerlyimportantinformationlocalmarchnetworkprivatepublicservingtechnologiestechnology
SHARED TOKENS (19): "access", "beginning", "business", "businesses", "buying", "centers", "computing", "data", "formerly", "important", "information", "local", "march", "network", "private", "public", "serving", "technologies", "technology".
0.300
accessaccountingbusinesscapacityconnectionscorporatedatadevelopmentfutureglobalimpactinformationintegratedmainmanufacturingnetworkoperationsplanningrealresources
SHARED TOKENS (24): "access", "accounting", "business", "capacity", "connections", "corporate", "data", "development", "future", "global", "impact", "information", "integrated", "main", "manufacturing", "network", "operations", "planning", "real", "resources"....
0.300
accesscomputingdevelopmentfebruaryformerlyglobalinfrastructuremarchmultipleoctoberplatformprofessionalprojectsoftwaresupports
SHARED TOKENS (15): "access", "computing", "development", "february", "formerly", "global", "infrastructure", "march", "multiple", "october", "platform", "professional", "project", "software", "supports".
0.300
activebeginningbroaderconcretecontextdistincteducationexperienceinformationknowledgemakesprocessrolesignificantthemwork
SHARED TOKENS (16): "active", "beginning", "broader", "concrete", "context", "distinct", "education", "experience", "information", "knowledge", "makes", "process", "role", "significant", "them", "work".
0.300
activebuildingcentercenterscomputingcriticaldatafacilitiesfacilityhighhigherindustriesinfrastructuremultiplephysicalremainsinglesupplysystem
SHARED TOKENS (19): "active", "building", "center", "centers", "computing", "critical", "data", "facilities", "facility", "high", "higher", "industries", "infrastructure", "multiple", "physical", "remain", "single", "supply", "system".
0.300
broaderdevelopmenteconomiceducationemploymentinformationinstitutionsplanningpoliticalprocessprofessionalrelationshipssocialsupportsupportsworkworking
SHARED TOKENS (17): "broader", "development", "economic", "education", "employment", "information", "institutions", "planning", "political", "process", "professional", "relationships", "social", "support", "supports", "work", "working".
0.300
agreementcontextcriticaldevelopmenteducationlabornationalonlinepolicypoliticalschoolssocialtechnicaltechnologyworkforce
SHARED TOKENS (15): "agreement", "context", "critical", "development", "education", "labor", "national", "online", "policy", "political", "schools", "social", "technical", "technology", "workforce".
0.300
addressclimatedemanddevelopmenteducationenergyenvironmentenvironmentalglobalhigherimpactindustryinstitutionslandlivemajorpeakprogramscientificsignificant
SHARED TOKENS (24): "address", "climate", "demand", "development", "education", "energy", "environment", "environmental", "global", "higher", "impact", "industry", "institutions", "land", "live", "major", "peak", "program", "scientific", "significant"....
0.300
centerscommunicationdatainfrastructurephysical
SHARED TOKENS (5): "centers", "communication", "data", "infrastructure", "physical". | EXACT TITLE in data_center: "Internet infrastructure".
0.300
Juris Doctor ↗ Q1540185 KW CROSS HIGH
additionalcentercompletedcorporateeducationlawlessmattersnationalofficepolicypracticalprofessionalpublicschoolscientificsouthtraining
SHARED TOKENS (18): "additional", "center", "completed", "corporate", "education", "law", "less", "matters", "national", "office", "policy", "practical", "professional", "public", "school", "scientific", "south", "training".
0.300
awardeddataeducationgovernmenthigherinstitutionslawlimitedoriginalprocessprogramsregionalrelevantresourcesroletraining
SHARED TOKENS (16): "awarded", "data", "education", "government", "higher", "institutions", "law", "limited", "original", "process", "programs", "regional", "relevant", "resources", "role", "training".
0.300
operationsschoolsutahwestwestern
SHARED TOKENS (5): "operations", "schools", "utah", "west", "western". | EXACT TITLE in education: "Mountain West Conference".
0.300
applicationbusinesscentralinformationinfrastructureintegratedneedoperatingrelevanceresourcesrolesupportsupportstechnicaltechnology
SHARED TOKENS (15): "application", "business", "central", "information", "infrastructure", "integrated", "need", "operating", "relevance", "resources", "role", "support", "supports", "technical", "technology".
0.300
applicationdesigndifferentelectricalformerlygenerationindustriesmanufacturingnationalneedprofessionalprojectrenewablesoftwaretechnologywork
SHARED TOKENS (16): "application", "design", "different", "electrical", "formerly", "generation", "industries", "manufacturing", "national", "need", "professional", "project", "renewable", "software", "technology", "work".
0.300
accessallowingcommunicationdatadevelopmentdigitalelectricalglobalinformationphysicalsignalssingletechnologiestechnologywon
SHARED TOKENS (15): "access", "allowing", "communication", "data", "development", "digital", "electrical", "global", "information", "physical", "signals", "single", "technologies", "technology", "won".
0.300
Solar power ↗ Q1483757 KW CROSS HIGH
builtcapacityclimatecostcurrenteitherenergygenerationglobalimportantpolicyprimarysinglesourcesystem
SHARED TOKENS (15): "built", "capacity", "climate", "cost", "current", "either", "energy", "generation", "global", "important", "policy", "primary", "single", "source", "system".
0.300
agreementbuildingbuiltbusinessbusinessesdesignedeitherenergygenerationgovernmentlong-termrenewableroleschoolssitespecific
SHARED TOKENS (16): "agreement", "building", "built", "business", "businesses", "designed", "either", "energy", "generation", "government", "long-term", "renewable", "role", "schools", "site", "specific".
0.300
allowsapplicationbuildingcapacitycenterscentralcomputingdataeitherfoundationalglobalgovernmenthighinfrastructurelesslocalmodelnetworknextoperating
SHARED TOKENS (31): "allows", "application", "building", "capacity", "centers", "central", "computing", "data", "either", "foundational", "global", "government", "high", "infrastructure", "less", "local", "model", "network", "next", "operating"....
0.300
broadercommunicationcorporatecreatesendexperiencegovernmentincreaseoperationspoliticalpresenceresourcesschoolsspecificspecificallytrainingworkforce
SHARED TOKENS (17): "broader", "communication", "corporate", "creates", "end", "experience", "government", "increase", "operations", "political", "presence", "resources", "schools", "specific", "specifically", "training", "workforce".
0.300
activityanalysiscapacitycontextdevelopmentenvironmentglobalgovernmentimportantinstitutionsknowledgeprivateprocesspublicrightsrolescientifictechnologiestechnology
SHARED TOKENS (19): "activity", "analysis", "capacity", "context", "development", "environment", "global", "government", "important", "institutions", "knowledge", "private", "process", "public", "rights", "role", "scientific", "technologies", "technology".
0.300
announcedannualbuyingclimateclosecutsdeepdifferentenergyglobalgovernmentinvestmentlargestlessmainnationalneedraterevenuesignificantly
SHARED TOKENS (20): "announced", "annual", "buying", "climate", "close", "cuts", "deep", "different", "energy", "global", "government", "investment", "largest", "less", "main", "national", "need", "rate", "revenue", "significantly".
0.300
accessbusinesscriticaldatadigitaldisclosuregovernmentindustryinformationinfrastructureknowledgemajoroperationsphysicalplanningpolicyprimaryprivateprocesssoftware
SHARED TOKENS (23): "access", "business", "critical", "data", "digital", "disclosure", "government", "industry", "information", "infrastructure", "knowledge", "major", "operations", "physical", "planning", "policy", "primary", "private", "process", "software"....
🫐 BERRY66 edges
0.280
capacityconservationcostdemandenergygenerationgrowthintegratedlawlong-termplanningprocesspublicsupply
SHARED TOKENS (14): "capacity", "conservation", "cost", "demand", "energy", "generation", "growth", "integrated", "law", "long-term", "planning", "process", "public", "supply".
0.280
corporatedifferentfinancialmattersmodelmultipleoperatedoperatingpolicypoliticalprimarypublicsinglesystem
SHARED TOKENS (14): "corporate", "different", "financial", "matters", "model", "multiple", "operated", "operating", "policy", "political", "primary", "public", "single", "system".
0.280
allowingaveragecentersconnectionscostdatadistinctinfrastructuremultiplenetworkphysicalpointprimaryprivate
SHARED TOKENS (14): "allowing", "average", "centers", "connections", "cost", "data", "distinct", "infrastructure", "multiple", "network", "physical", "point", "primary", "private".
0.280
accessallowsbuiltcloseconnectedcurrentelectricalenergyincreasesmillionneednetworksizetechnology
SHARED TOKENS (14): "access", "allows", "built", "close", "connected", "current", "electrical", "energy", "increases", "million", "need", "network", "size", "technology".
0.280
intermountainregionwestwestern
SHARED TOKENS (4): "intermountain", "region", "west", "western". | EXACT TITLE in data_center: "Intermountain West". | EXACT TITLE in education: "Intermountain West".
0.260
architecturecenterscomputingdatademanddigitalenvironmentinfrastructuremetanodeoperatingresourcessystem
SHARED TOKENS (13): "architecture", "centers", "computing", "data", "demand", "digital", "environment", "infrastructure", "meta", "node", "operating", "resources", "system".
0.260
alreadybusinesscorporateeducationhigherleastprofessionalprogramprogramsschoolsscientificspecificallyworkforce
SHARED TOKENS (13): "already", "business", "corporate", "education", "higher", "least", "professional", "program", "programs", "schools", "scientific", "specifically", "workforce".
0.260
analyticsannouncedannouncementapplicationbankcenterscomputingdatainfrastructureleastmultipleplatformpublic
SHARED TOKENS (13): "analytics", "announced", "announcement", "application", "bank", "centers", "computing", "data", "infrastructure", "least", "multiple", "platform", "public".
0.260
additionalcentercenterseducationgovernmentprogramprogramsschoolsignificantlysupportstotaltrainingtype
SHARED TOKENS (13): "additional", "center", "centers", "education", "government", "program", "programs", "school", "significantly", "supports", "total", "training", "type".
0.260
Tax holiday ↗ Q3504234 KW CROSS HIGH
averagebusinessbusinessescorporategrowthincreaseindustriesinvestmentlawlocalnationalprivateresources
SHARED TOKENS (13): "average", "business", "businesses", "corporate", "growth", "increase", "industries", "investment", "law", "local", "national", "private", "resources".
0.260
centercenterscomputingdatadata-centerenergyfacilityglobalinfrastructureratiospecificallysupportstotal
SHARED TOKENS (13): "center", "centers", "computing", "data", "data-center", "energy", "facility", "global", "infrastructure", "ratio", "specifically", "supports", "total".
0.260
allowingcostdifferentenergylimitedoctoberpolicyprivateprogramsregulatoryrenewableresourcessupply
SHARED TOKENS (13): "allowing", "cost", "different", "energy", "limited", "october", "policy", "private", "programs", "regulatory", "renewable", "resources", "supply".
0.260
alreadybeginningcentralchipscomputingdatahistorykindlargestlessmultipleprocessscientific
SHARED TOKENS (13): "already", "beginning", "central", "chips", "computing", "data", "history", "kind", "largest", "less", "multiple", "process", "scientific".
0.260
accessannouncedannualaugustendfinancialgovernmentlawlong-termoperationspublicseptembersupport
SHARED TOKENS (13): "access", "announced", "annual", "august", "end", "financial", "government", "law", "long-term", "operations", "public", "september", "support".
0.260
buildingsbusinesscentersdatadesignedelectricalenergysinglesizesourcesupplysystemtype
SHARED TOKENS (13): "buildings", "business", "centers", "data", "designed", "electrical", "energy", "single", "size", "source", "supply", "system", "type".
0.240
distincteducationexperiencejobslargestpracticalprogramprogramsschooltypeworkworkforce
SHARED TOKENS (12): "distinct", "education", "experience", "jobs", "largest", "practical", "program", "programs", "school", "type", "work", "workforce".
0.240
contexteducationhighermultipleoptionsprimaryprivateprocesspublictrainingworkworking
SHARED TOKENS (12): "context", "education", "higher", "multiple", "options", "primary", "private", "process", "public", "training", "work", "working".
0.240
accessdifferenteducationeitherenvironmentmultiplenetworkonlineprocessprogramschooltechnologies
SHARED TOKENS (12): "access", "different", "education", "either", "environment", "multiple", "network", "online", "process", "program", "school", "technologies".
0.240
beginningboiseformerhistoryidahoinstitutionsnationaloperatedschoolutahwesternwon
SHARED TOKENS (12): "beginning", "boise", "former", "history", "idaho", "institutions", "national", "operated", "school", "utah", "western", "won".
0.220
activityawardedcenterdataeducationhigherimportantinstitutionsintegratednationalsystem
SHARED TOKENS (11): "activity", "awarded", "center", "data", "education", "higher", "important", "institutions", "integrated", "national", "system".
0.220
technologieswater
SHARED TOKENS (2): "technologies", "water". | EXACT TITLE in data_center: "Liquid cooling".
0.220
Simplot ↗ Q3484788 EXACT TITLE
boiseidaho
SHARED TOKENS (2): "boise", "idaho". | EXACT TITLE in education: "Simplot".
0.220
Student affairs ↗ KW CROSS HIGH
developmenteducationgrowthhigherinstitutionsledschoolssizesupporttypework
SHARED TOKENS (11): "development", "education", "growth", "higher", "institutions", "led", "schools", "size", "support", "type", "work".
0.220
Dentistry ↗ Q12128 KW CROSS HIGH
conservationdevelopmenteitherhistoryinstitutionsprimaryprivaterelevantscientificwaterwork
SHARED TOKENS (11): "conservation", "development", "either", "history", "institutions", "primary", "private", "relevant", "scientific", "water", "work".
0.220
additionaldataestablishedfinancialinformationintegratedoperatingpublicrelevantsystemtype
SHARED TOKENS (11): "additional", "data", "established", "financial", "information", "integrated", "operating", "public", "relevant", "system", "type".
0.220
Tuition ↗ Q129529471 EXACT TITLE
educationprivate
SHARED TOKENS (2): "education", "private". | EXACT TITLE in education: "Tuition".
0.220
annualcapacityfacilityidahoimportantindustrieslandlargestmajormanufacturingnorthern
SHARED TOKENS (11): "annual", "capacity", "facility", "idaho", "important", "industries", "land", "largest", "major", "manufacturing", "northern".
0.220
HITRUST ↗ Q5629803 EXACT TITLE
formerlyinformation
SHARED TOKENS (2): "formerly", "information". | EXACT TITLE in data_center: "HITRUST".
0.200
annualeducationgovernmentmajornationaloperationsplanningsocialsourcesupports
SHARED TOKENS (10): "annual", "education", "government", "major", "national", "operations", "planning", "social", "source", "supports".
0.200
distincteducationmajormovedpathwaysprogramsrightsschooltrainingwork
SHARED TOKENS (10): "distinct", "education", "major", "moved", "pathways", "programs", "rights", "school", "training", "work".
0.200
climateirrigationmultiplerenewableresourcesservesourcesouthsupplywater
SHARED TOKENS (10): "climate", "irrigation", "multiple", "renewable", "resources", "serve", "source", "south", "supply", "water".
0.200
Dark fibre ↗ Q1878571 KW CROSS HIGH
additionalcapacitycommunicationcostdatademandinfrastructurenetworkprivateprovider
SHARED TOKENS (10): "additional", "capacity", "communication", "cost", "data", "demand", "infrastructure", "network", "private", "provider".
0.200
averagedevelopmenteconomiceducationprimaryproviderratioschoolsignificantlysize
SHARED TOKENS (10): "average", "development", "economic", "education", "primary", "provider", "ratio", "school", "significantly", "size".
0.200
Student loan ↗ Q462058 KW CROSS HIGH
articledesignededucationfactfinancialmajorrateschoolsystemtype
SHARED TOKENS (10): "article", "designed", "education", "fact", "financial", "major", "rate", "school", "system", "type".
0.200
Managed services ↗ KW CROSS HIGH
demandenvironmentinformationinfrastructurelong-termmodelproviderresponsibilitytechnicaltechnology
SHARED TOKENS (10): "demand", "environment", "information", "infrastructure", "long-term", "model", "provider", "responsibility", "technical", "technology".
0.200
advancedcriticalhealthcarenationalregulatoryservespecificallysupportworkworking
SHARED TOKENS (10): "advanced", "critical", "healthcare", "national", "regulatory", "serve", "specifically", "support", "work", "working".
0.200
criticaldatadigitaldisclosureinformationinfrastructurenetworkphysicalsoftwaretechnology
SHARED TOKENS (10): "critical", "data", "digital", "disclosure", "information", "infrastructure", "network", "physical", "software", "technology".
0.200
differenteducationeithergovernmenthigherinstitutionsnationaloperatedprivatepublic
SHARED TOKENS (10): "different", "education", "either", "government", "higher", "institutions", "national", "operated", "private", "public".
0.200
Raptor ↗ Q137956 EXACT TITLE
EXACT TITLE in education: "Raptor".
0.200
lawmillionmodelnationalofficeprofessionalschoolssinglespecificthird
SHARED TOKENS (10): "law", "million", "model", "national", "office", "professional", "schools", "single", "specific", "third".
0.200
buildingbuildingscapacityconnectedconnectionsconnectsdifferentenvironmentinformationnetwork
SHARED TOKENS (10): "building", "buildings", "capacity", "connected", "connections", "connects", "different", "environment", "information", "network".
0.200
centercentralcriticaleducationhigherinstitutionsknowledgeprivatepublicscientific
SHARED TOKENS (10): "center", "central", "critical", "education", "higher", "institutions", "knowledge", "private", "public", "scientific".
0.180
additionaleducationoperatingprogramprogramsschoolschoolssystemtraining
SHARED TOKENS (9): "additional", "education", "operating", "program", "programs", "school", "schools", "system", "training".
0.180
centraldesigneddevelopmentintegratedoperatingprocessrisesinglesystem
SHARED TOKENS (9): "central", "designed", "development", "integrated", "operating", "process", "rise", "single", "system".
0.180
centercurrenteducationenvironmentfutureprogramprogramsschoolstraining
SHARED TOKENS (9): "center", "current", "education", "environment", "future", "program", "programs", "schools", "training".
0.180
businesseitherenvironmentenvironmentaloperationsplanningprocessrecoveryworking
SHARED TOKENS (9): "business", "either", "environment", "environmental", "operations", "planning", "process", "recovery", "working".
0.180
applicationcentercomputingconnecteddatadesignedgemodelnear
SHARED TOKENS (9): "application", "center", "computing", "connected", "data", "design", "edge", "model", "near".
0.180
applicationdigitalestablishedfinancialfintechindustryonlinetechnologiestechnology
SHARED TOKENS (9): "application", "digital", "established", "financial", "fintech", "industry", "online", "technologies", "technology".
0.160
connectionsdatadesignedelectricalhighnetworksignalsstructure
SHARED TOKENS (8): "connections", "data", "designed", "electrical", "high", "network", "signals", "structure".
0.160
buildingenergyfactlessprocesssignificantlytotalwater
SHARED TOKENS (8): "building", "energy", "fact", "less", "process", "significantly", "total", "water".
0.160
451 Group ↗ Q55602817 KW CROSS HIGH
analyticscenterdataglobalindustryinformationoperatingtechnology
SHARED TOKENS (8): "analytics", "center", "data", "global", "industry", "information", "operating", "technology".
0.140
educationhigherinstitutionslawprivatepublictotal
SHARED TOKENS (7): "education", "higher", "institutions", "law", "private", "public", "total".
0.140
commercecostgovernmentinformationnationalprogramstechnology
SHARED TOKENS (7): "commerce", "cost", "government", "information", "national", "programs", "technology".
0.140
communicationelectricalhighinformationlocalsignalstype
SHARED TOKENS (7): "communication", "electrical", "high", "information", "local", "signals", "type".
0.140
commercedevelopmenteconomicgrowthidahopublicresources
SHARED TOKENS (7): "commerce", "development", "economic", "growth", "idaho", "public", "resources".
0.140
applicationdecisionsdesignedinformationmakesnetworksystem
SHARED TOKENS (7): "application", "decisions", "designed", "information", "makes", "network", "system".
0.120
Land development ↗ KW CROSS HIGH
buildingdevelopmentestatehousinglandreal
SHARED TOKENS (6): "building", "development", "estate", "housing", "land", "real".
0.120
adaboisegovernmentidahomainstreet
SHARED TOKENS (6): "ada", "boise", "government", "idaho", "main", "street".
0.120
annualcenterdataenergysitewater
SHARED TOKENS (6): "annual", "center", "data", "energy", "site", "water".
0.120
accesscomputingdemandnetworkphysicalresources
SHARED TOKENS (6): "access", "computing", "demand", "network", "physical", "resources".
0.120
educationhigheronlineresourcesschooltechnology
SHARED TOKENS (6): "education", "higher", "online", "resources", "school", "technology".
0.120
appliedcentersinformationsupportssystemtechnology
SHARED TOKENS (6): "applied", "centers", "information", "supports", "system", "technology".
0.100
Kuna, Idaho ↗ Q1515177 KW CROSS HIGH
adaadditionalboiseidahokuna
SHARED TOKENS (5): "ada", "additional", "boise", "idaho", "kuna".
0.100
differentmainprimaryregionalresources
SHARED TOKENS (5): "different", "main", "primary", "regional", "resources".
0.100
awardedfinancialhighprivateschool
SHARED TOKENS (5): "awarded", "financial", "high", "private", "school".
0.100
advancedapprovedhighprogramschool
SHARED TOKENS (5): "advanced", "approved", "high", "program", "school".
◈ Provenance Chain · refinery-treasurevalley-v1.0.0
Data Center × Education 9 QID bridges 178 edges 4,787 ext links 2026-07-17 20:18:38 UTC c00412f47d8411a9
Data Center corridor ↗ Education corridor ↗ Education × Data Center ↗ boisestandard.org/standard ↗
Parent Corridors
Data Center × All Other Verticals