A new AI-based system for analyzing images taken over time can accurately detect changes and predict outcomes, which may be useful across a wide range of medical and scientific applications.
An artificial intelligence-powered method for detecting tumor DNA in blood has the potential to improve cancer care with the very early detection of recurrence and close monitoring of tumor response during therapy.
The study shows that artificial intelligence and machine learning technologies can effectively and efficiently subtype pathology samples from patients with rheumatoid arthritis.
Biden administration officials are meeting with digital creators on Wednesday for the first-ever White House Creator Economy Conference. The summit is expected to touch on artificial intelligence, mental health and pay equity.
Kilian Weinberger and Claire Cardie join five of their Cornell colleagues in being named AAAI Fellows, in recognition of their significant contributions to the field of artificial intelligence.
The Brooks Tech Policy Institute, with support from the Jain Family Institute (JFI), has released a new report that offers “a high-level framework to analyze regulation of AI technologies.”
Cornell Engineering’s Scientific Artificial Intelligence Center has partnered with Pasteur Labs, an alumnus-founded startup, to establish new research projects in human-AI collaboration for scientific discovery and industrial applications.
What are the options for limiting harm as AI use grows? This is one of the questions a network of international colleagues are tackling in a research collaboration launched with a 2022 Joint Research Seed Grant from Global Cornell’s Global Hubs initiative. This year’s cycle of Global Hubs seed grants recently opened.
