Cornell Engineering’s Scientific Artificial Intelligence Center has partnered with Pasteur Labs, an alumnus-founded startup, to establish new research projects in human-AI collaboration for scientific discovery and industrial applications.
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SoNIC puts students at cutting edge of computer vision research
Students in the SoNIC program developed new models to help people with impaired vision to identify objects around them and citizen scientists to recognize bird species.
The decision-making mystery of AI chatbots
A new working paper from Cornell SC Johnson College of Business explores the differences between decision-making processes in human and artificial intelligence.
SoNIC puts students at cutting edge of computer vision research
Eighteen students from across the country got a crash course in computer vision, machine learning, and how to secure a research career in tech during the 2024 SoNIC Summer Research Workshop, held June 24-28 on Cornell’s Ithaca campus.
Rev: Ithaca Startup Works puts new entrepreneurs through their paces
Over 10 weeks this summer, Rev’s Prototyping Hardware Accelerator guided product teams from back-of-the-napkin ideas to fully-fledged startups. In categories from climate technology to agricultural innovations, and with projects that range from canoe racing tools to improved tea dispensers, teams gained access to experts in their industry’s field, working together to figure out if their concept might be commercially desirable, technologically feasible and economically viable.
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 fields, aims to address these challenges head-on. The director of the SETS program, Google alum Alex
Machine learning helps define subtypes of Parkinson’s disease
Researchers at Weill Cornell Medicine have used machine learning to define three subtypes of Parkinson’s disease based on the pace at which the disease progresses.
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.