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Cornell’s AI Initiative supports university faculty, staff, and students as they explore models to optimize the use of generative AI for practical purposes. Eight local teams stunned a hybrid audience with presentations proving generative AI applications could simpli…
After brief opening remarks by Chief Global Information Officer (CIO) Curt Cole and by CIO for Cornell’s Ithaca campus and Cornell Tech Ben Maddox, eight projects from the Fall 2025 cohort of the university’s AI Innovation Lab were presented to in-person and Zoom au…
A team from Cornell led by Kevin Ellis, assistant professor of computer science in the Cornell Ann S. Bowers College of Computing and Information Science, has developed a set of AI models that together, solve about 56% of the problems – scoring within 4 percentage poi…
A research team led by Cornell has demonstrated how quantum computing and artificial intelligence can be used to design new peptides capable of capturing microplastics that pose serious risks to ecosystems and human health.
We are living in the most consequential decade in artificial intelligence’s history. We don’t know exactly what the future will look like, and we don’t know exactly what innovations it will bring, but we know one thing for certain: AI will be shaped by the people …
Cornell scientists have identified the neural pathway mice use to direct the tongue to tactile targets: the superior colliculus, the same brain region that primates – including humans – use to direct their gaze to visual targets. It’s likely that humans use the sa…
By studying mice equipped with brain electrodes and tiny eye-tracking cameras, Cornell researchers determined that new memories are being replayed and consolidated when the pupil is contracted during a substage of non-REM sleep.
A Cornell Tech-led research group is in the early stages of developing a portable, inexpensive device that uses radio frequency signals and machine learning for another important job: measuring lead contamination levels in soil.
