Cornell AI News
Cornell is spearheading the development and refinement of AI through extensive interdisciplinary collaborations.
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DOE funds new research to advance computer chip technology
Cornell researchers are part of a project to enable sustainable hardware for AI and quantum computing, one of 11 projects selected by DOE to receive a total of $73 million.
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.
Carla Gomes comments on new AI-guided materials discovery research
Carla Gomes talks to Nature on new AI-guided materials discovery research
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.
The OpenAI meltdown will only accelerate the artificial intelligence race
Optimists and ‘doomers’ are fighting over the direction of AI research – and those who want speed may have won this round, Sarah Kreps, the John L. Wetherill Professor of government in the College of Arts and Sciences and the Director of Tech Policy Institute in the Cornell Brooks School of Public Policy, writes in an op-ed in The Guardian.
Crowdsourced fact-checking fights misinformation in Taiwan
As journalists and professional fact-checkers struggle to keep up with the deluge of misinformation online, fact-checking sites that rely on loosely coordinated contributions from volunteers, such as Wikipedia, can help fill the gaps, Cornell research finds.
Big-data study explores social factors affecting child health
A Weill Cornell Medicine-led research team used an AI-based approach to uncover patterns among conditions in which people are born, grow, work and age, called social determinants of health, and then linked each pattern to children’s health outcomes.