As a CIFAR Azrieli Global Scholars, Baobao Zhang will investigate challenges governments face when addressing public perceptions of inequalities brought about by new technologies and Elizabeth Johnson will look into connections between infant nutrition and gastrointestinal health.
Bart Selman, professor of computer science, opened the lecture series "The Emergence of Intelligent Machines: Challenges and Opportunities"
by highlighting the potential real-world impacts of artificial intelligence.
Researchers at Cornell Bowers CIS and the College of Engineering have produced three concurrent research papers on autonomous vehicles’ ability to create “memories” of previous experiences and use them in future navigation.
A Cornell-led team was recently awarded a $2.5 million grant from the Office of Naval Research to develop a computational model of how humans form and update their memories of robots.
Two Cornell experts in artificial intelligence have joined a nationwide team setting out to ensure that when computers are running the world, they will make decisions compatible with human values.
The Technology and Law Colloquium – a hybrid Cornell University course and public lecture series – returns this semester with talks from 13 leading scholars who study the legal and ethical questions surrounding technology’s impact in areas like privacy, sex and gender, data collection, and policing.
Cornell has been awarded an $8.9 million cooperative agreement from the Air Force Research Laboratory for a regional research hub to spark collaborations in academia, government and industry.
This year's AAAS electees from Cornell include a renowned artificial intelligence researcher, an emeritus professor who studies animal migration patterns, and a food safety expert.
The Cornell Center for Social Sciences grant program, which supports social science research by Cornell faculty members, has awarded $85,000 to 10 professors for their 2022-23 CCSS Faculty Fellows program.
New, award-winning research from the Cornell Ann S. Bowers College of Computing and Information Science is helping inform and improve future design and development of interactive machine learning tools.