People usually strive to be their true, authentic selves, but this fall, five master’s students at Cornell Tech adopted not only alter egos but also “bad intent,” in an effort to make AI safer for health workers serving people with diabetes.
Cornell University has been awarded a portion of a $2 million planning initiative from the U.S. National Science Foundation to establish AI4Ag, a national testbed for artificial intelligence in agriculture.
Wang's newly established role will strengthen Cornell Tech’s leadership in digital health and artificial intelligence, while also expanding interdisciplinary collaboration between Cornell Tech and Weill Cornell Medicine.
The artificial intelligence models underlying popular chatbots and content moderation systems struggle to identify offensive, ableist social media posts in English – and perform even worse in Hindi, new Cornell research finds.
A new system developed by Cornell Tech researchers helps users detect when their online accounts have been compromised — without exposing their personal devices to invasive tracking by web services.
This week’s episode of Research Matters features misinformation expert Claire Wardle, discussing how today’s information ecosystem has become increasingly polluted by misleading and emotionally charged content that spreads faster than facts.
A doctoral student has developed a text message-based system that regularly updates both long-term hospital patients’ and care facilities’ availability statuses, smoothing a normally time-consuming placement process.