Bart Selman, professor of computer science at Cornell University and an expert on artificial intelligence safety issues, comments on Tesla's efforts to develop fully-autonomous vehicles.
A team including a Cornell researcher has developed a digital “virus” that could piggyback on contact-tracing apps and spread from smartphone to smartphone in real time, helping policymakers predict COVID-19 spread.
Machine learning can assess the effectiveness of mathematical tools used to predict the movements of financial markets, according to new Cornell research.
Research teams led by professors Robert Bruce van Dover and Hadas Kress-Gazit have both been granted up to $7.5 million from the U.S. Department of Defense for autonomous systems and AI research.
Cornell researchers have developed an automated system that uses machine learning, data analysis and human feedback to automatically verify statistical claims about the new coronavirus.
President Martha E. Pollack lauded faculty for recent honors, thanked donors for recent major gifts to Cornell and touted the university’s efforts on diversity and inclusion.
PARADIM has received a second award of $22.5 million from the National Science Foundation to fund another five years of enabling scientists, engineers and entrepreneurs nationwide to design and create new inorganic materials for use in electronics.
A team of Cornell researchers used AI to investigate what sets originals apart from their reflections, and their algorithms learned to pick up unexpected clues.
Cornell Engineering has launched the Veho Institute for vehicle intelligence, formally partnering Cornell with Italian universities and luxury automakers, and establishing a new academic center at Cornell Tech.