This AI-model is more certain about uncertainty
Reports and Proceedings
Updates every hour. Last Updated: 27-Apr-2025 21:08 ET (28-Apr-2025 01:08 GMT/UTC)
Artificial intelligence (AI) plays a role in virtually every aspect of our lives, from self-driving cars to smart vacuum cleaners, to computer models that can predict the course of an epidemic. No matter how advanced these AI systems are, there always remains a certain degree of unpredictability about their behaviour. Thom Badings developed a new method to include this uncertainty in predictive algorithms, so that a safe solution can be achieved. His PhD defence takes place on 27 March at Radboud University.
Researchers at Kumamoto University have made a significant breakthrough in the field of control engineering by developing a highly accurate mathematical modeling technique for linear periodically time-varying (LPTV) systems. This pioneering research, led by Associate Professor Hiroshi Okajima of the Faculty of Advanced Science and Technology, opens new possibilities for improving technologies such as autonomous driving, robotics, and satellite navigation.
An Osaka Metropolitan University-led study investigated the association between the number of dining companions and energy and nutrient intake, as well as the contribution of specific food groups to higher intake in the presence of dining companions.
Dr. Suin Yi, assistant professor of electrical and computer engineering at Texas A&M’s College of Engineering, is on a team of researchers that developed “Super-Turing AI,” which operates more like the human brain. This new AI integrates certain processes instead of separating them and then migrating huge amounts of data like current systems do.
An MIT study finds NBA teams that hired more analytics staff, and invested more in data analysis, tended to win more games.