A multidisciplinary team aims to build a more inclusive AI shaped by global cultures and knowledge – one of three projects that make up Cornell’s new Global Grand Challenge: The Future.
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NSF grant supports AI-driven sustainability research, training
A new program at Cornell will tackle critical environmental challenges by integrating advanced artificial intelligence (AI) tools with sustainability research across the campus, thanks to a grant from the National Science Foundation’s Research Traineeship Program.
AI boosts indoor food production’s energy sustainability
Integrating artificial intelligence into today’s environmental control systems could reduce energy consumption for indoor agriculture by 25% – potentially helping to feed the world as its population rises, Cornell engineers have found.
AI modeling delivers more benefits, less risk for water partnerships
Researchers found that cooperative partnerships seeking to spread the cost burden of water infrastructure projects often end up forcing local partners to bear the brunt of supply and financial risks.
Leading the Charge in Cybersecurity, Trust, and Safety
In an era where digital threats are ever-evolving, the need for advanced education and research in cybersecurity, trust, and safety is paramount. Cornell Tech’s new Security, Trust, and Safety (SETS) Initiative, a cutting-edge program aimed at revolutionizing these fi…
Dean Bala talks with The Wall Street Journal about how university researchers can influence generative AI research
Outspent by Big Tech, some academics are focusing on research that requires less computing power, even as they try to build more of it.
Redesigning videoconferencing for, and by, people who stutter
New research and an app aim to make Zoom and other video conferencing platforms less stressful for people with speech diversities, while improving the experience for everyone.
Employees prefer human oversight to AI surveillance – unless the technology can be framed as supporting their development, new Cornell research finds.
Employees prefer human oversight to AI surveillance – unless the technology can be framed as supporting their development, new Cornell research finds.