New method could help estimate wildlife disease spread

A new method could be used by biologists to estimate the prevalence of disease in free-ranging wildlife and help determine how many samples are needed to detect a disease.

Cornell certificate equips leaders with natural language processing skills

Oleg Melnikov, visiting lecturer at the Cornell Bowers College of Computing and Information Science, discusses Cornell’s Natural Language Processing with Python online certificate program.

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Tech companies capitalize on misconceptions of ‘free speech’

Tech expert says social media companies could limit harassing and extremist speech but often choose not to because it serves their bottom line, in her Dec. 7 talk, “Selling Out Free Speech.”

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.

Cornell joins new open-technology AI Alliance

Cornell has signed on as an inaugural member of the AI Alliance, an international community of researchers, developers and organizational leaders committed to supporting and enhancing open innovation in artificial intelligence.

Welcoming AI into the classroom

Students are experimenting with generative artificial intelligence in everything from essay writing to computer code creation.

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Method may improve cities’ responses to resident service calls

Researchers from Cornell Tech have developed a method to identify delays in the reporting of incidents such as downed trees and power lines, which could lead to practical insights and interventions for more equitable, efficient government service.

John Wu’s journey from tech investor to blockchain entrepreneur and Web3 champion

Blockchain entrepreneur John Wu ’92 built his career through Cornell connections and gives back as an advisor, speaker, and benefactor.

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AI-generated images map visual functions in the brain

Researchers have demonstrated the use of artificial-intelligence-selected natural images and AI-generated synthetic images as neuroscientific tools for probing the visual processing areas of the brain.