Kahlert Foundation Donates $5.2 Million to Launch Applied AI Institute at Utah Valley University
Utah Valley University (UVU) has received a $5.2 million donation from the Kahlert Foundation to establish the Kahlert Applied Artificial Intelligence Institute, announced in a press release. The new institute aims to position UVU as a national leader in applied and ethical AI education.
The Kahlert Applied AI Institute will integrate education, research, and workforce development to prepare students for careers in AI-related fields. It will provide access to AI tools, mentorship, and hands-on learning experiences for students across disciplines including healthcare, business, engineering, and the arts.
The institute builds on UVU’s existing AI-focused initiatives, such as its partnerships with NVIDIA and the university’s AI apprenticeship program, which offers training and industry collaboration. With the new funding, UVU plans to expand faculty training and develop AI-enhanced academic programs.
Located near Utah’s Silicon Slopes technology hub, the institute will serve as a hub for collaboration with technology companies, entrepreneurs, and policymakers. The initiative is designed to align academic programs with workforce needs and prepare graduates for roles in AI-driven industries.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like AI in Education or Daily AI Brief.
Also, consider following us on social media:
More from AI in Education
Nov 2 Enrollify launches AI training hub for higher education staff Nov 2 NUS Law joins Legora legal AI scholars program Nov 1 East African Community adopts regional AI strategy and university training plan Nov 1 Türkiye Plans AI Scoring for Open Ended School Tests Oct 31 Hong Kong to Add AI Lessons to Primary School CurriculumAI in Education
Weekly newsletter about AI in education. Covers AI-driven software for educators, schools, general innovations and regulatory updates.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Utah Requires Verifiable AI Receipts for Designated Clinical Sandbox Systems
Haslam Launches Institute for the Future of Business
Google.org Awards $36 Million to 17 AI Science Projects
Simons Foundation, Anthropic and OpenAI Commit $15M to Mathematics AI Program
UL Research Institutes Names Kevin Dixon to Lead Digital Safety Research Institute
Daily AI Brief: the AI news that matters, in your inbox.