Cornell AI News
Cornell is spearheading the development and refinement of AI through extensive interdisciplinary collaborations.
Filter by Topic
Do trucks mean Trump? AI shows how humans misjudge images
A study of common mistakes humans made while guessing whether a neighborhood voted for Joe Biden or Donald Trump based on a single Google Street View image may help us make better decisions about visual information.
Fairer ranking system diversifies search results
Cornell researchers have developed a fairer system for recommendations – from hotels to jobs to videos – so a few top hits don’t get all the exposure.
Protecting privacy – and safety – in encrypted messaging
Cornell Tech researchers have developed a mechanism for preserving anonymity in encrypted messaging – which conceals message content but might not cloak the sender’s identity – while simultaneously blocking unwanted or abusive messages.
Cornell Bowers CIS welcomes 6 new faculty
The faculty have expertise in a broad range of areas, including robotics, artificial intelligence, digital fabrication, public health, and population genetics.
Existing fiber-optic cables can monitor whales
A new study demonstrates for the first time that the same undersea fiber-optic cables used for internet and cable television can be repurposed to tune in to marine life at unprecedented scales, potentially transforming critical conservation efforts.
Collaboration will advance cardiac health through AI
A three-year, $15 million partnership between Cornell and NewYork-Presbyterian will employ artificial intelligence to help improve outcomes for people with cardiovascular disease.
AI reveals scale of eelgrass vulnerability to warming, disease
A combination of ecological field methods and AI has helped an interdisciplinary research group detect eelgrass wasting disease from San Diego to southern Alaska, and determine that it’s caused by warmer-than-normal water temperatures.
AI regulations are a global necessity, panelists say
In a Cornell China Center webinar held May 27, legal scholars based in China, Switzerland and the United States surveyed artificial intelligence regulation across the world, identifying strategic similarities and local distinctions.