Computer scientist Lillian Lee has been named a fellow of thee Association for the Advancement of Artificial Intelligence for her work in natural language processing.
The U.K.'s astronomer royal, Lord Martin Rees, will explore our vulnerabilities and possibilities in the first Carl Sagan Distinguished Lecture at Cornell Monday, May 8, at 7 p.m. in Call Auditorium.
Cornell Tech researchers will lead a nationwide team of computer scientists in a project to make automated decision-making systems “accountable,” ensuring that they respect privacy and make decisions fairly.
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.
Machine learning can assess the effectiveness of mathematical tools used to predict the movements of financial markets, according to new Cornell research.
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.
A Cornell researcher is working with Facebook to find ways to identify content with malicious intent and forged IDs, to help the social media giant rapidly find and remove harmful posts.
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.
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.
Computer scientists are among those joining a growing chorus of experts eager to harness the future of artificial intelligence research, while remaining responsibly vigilant to its potential pitfalls.