Yale University Announces to Invest $150 Million In AI Over Next 5 Years
The funding will be used to upskill students, faculty and staff in the emerging field of artificial intelligence so that they can be ready for leadership roles in the coming time.
Yale University has announced that it will commit over $150 million to upskilling stakeholders in Artificial Intelligence. The funding will be provided over the next five years and it will help students, faculty, and staff upskill themselves in AI-related technologies.
Yale Provost Scott Strobel said that the funding will support areas such as targeted faculty hires, compute infrastructure, seed grants, community access to secure generative AI tools, and interdisciplinary collaboration opportunities.
Strobel said, “Yale has long been at the forefront of AI development and research, and our leadership continues to be necessary as this technology evolves and endures. To fulfil the university’s mission to improve the world and prepare the next generation of society’s great leaders and thinkers, we must explore, advance, and harness AI for its benefits while providing ethical, legal, and social frameworks to address the challenges it poses.”
Yale to expand research infrastructure
The university is planning to recruit more computational research support analysts, invest in cloud-based GPU access, and build a portfolio of around 450 graphics processing units (GPUs). These GPUs will be installed in clusters maintained by the university at the Massachusetts Green High-Performance Computing Center (MGHPCC). The university will facilitate access to various AI tools including Adobe Firefly and Microsoft Copilot Enterprise.
Yale expects to hire over 20 faculty with skills in AI technology. Many scholars and researchers at the university have been developing, using and analyzing AI for years, however, new faculty will add to the AI strength of the university.
“Additional faculty expertise will strengthen Yale’s depth of knowledge and enhance the learning environment for students, who will be expected to understand, navigate, and make decisions about AI technologies throughout their lives and careers,” Strobel said.
“Whether you are studying, teaching, researching, or working at Yale, I encourage you to explore the resources available now and engage with the opportunities to come. Members of our community — from Information Technology to the Library to deans’ offices — continue to work diligently to implement these investments,” added Strobel.
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