Ava Labs, a company with roots at Cornell, recently announced that its Avalanche blockchain platform will be used for the largest deed tokenization project in history.
A team of Cornell computer science researchers has developed a way to “watermark” light in videos, which they can use to detect if video is fake or has been manipulated, another potential tool in the fight against misinformation.
Project teams in Rev: Ithaca's Prototyping Hardware Accelerator will present their ideas – from AI cocktail generators to plastic recycling machines - at Demo Day on July 31.
The NSF, in partnership with Intel, will invest $20 million over five years to establish the Artificial Intelligence Materials Institute at Cornell, as part of the National Artificial Intelligence Research Institutes.
The technology, developed by a Cornell doctoral candidate, can simulate conversations with different accents and dialects and gives feedback to users on their grammar and pronunciation.
At the Cornell Thought Summit, Everyday AI & Mental Health: Navigating a Tipping Point, experts gathered to discuss the use of artificial intelligence to improve mental health care for patients.
