Cornell is joining the NSF and five other universities to form an institute aiming to create more climate-smart practices that will curb greenhouse gas emissions while boosting the agriculture and forestry industries.
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AI tool gains doctors’ trust by giving advice like a colleague
Hospitals have begun using “decision support tools” powered by artificial intelligence that can diagnose disease, suggest treatment or predict a surgery’s outcome.
Radar, AI identify Alaska Native Spanish flu victims burial site
A Cornell research scientist used ground-penetrating radar and AI modeling to locate the communal graves of approximately 93 victims of the Spanish influenza at Pilgrim Hot Springs in Alaska.
10 researchers named inaugural Eric and Wendy Schmidt AI in Science Postdoctoral Fellows
Ten Cornell postdoctoral researchers who plan to harness the power of artificial intelligence (AI) in areas like materials discovery, physics, biological sciences and sustainability sciences have been named Eric and Wendy Schmidt AI in Science Postdoctoral Fellows, a Schmidt Futures program.
Regret being hostile online? AI tool guides users away from vitriol
To help identify when tense online debates are inching toward irredeemable meltdown, Cornell researchers have developed an artificial intelligence tool that can track these conversations in real-time, detect when tensions are escalating and nudge users away from using incendiary language.
Newly released open-source platform cuts costs for running AI
Cornell researchers have released a new open-source platform, Cascade, that can run artificial intelligence models in a way that slashes expenses and energy costs while dramatically improving performance.
Bot gives nonnative speakers the floor in videoconferencing
Native speakers often dominate the discussion in multilingual online meetings, but adding an automated participant that periodically interrupts the conversation can help nonnative speakers get a word in edgewise, according to new research at Cornell.
AI improves detail, estimate of urban air pollution
Using artificial intelligence, Cornell engineers have simplified models that accurately gauge the fine particulate matter in urban air pollution – exhaust from cars and trucks that get into human lungs.