A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...
By now, ChatGPT, Claude, and other large language models have accumulated so much human knowledge that they're far from simple answer-generators; they can also express abstract concepts, such as ...
It’s more than just code. Scientists have found a way to "dial" the hidden personalities of AI, from conspiracy theorists to ...
An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...
Abstract: Concept-cognitive learning (CCL) is the process of enabling machines to simulate the concept learning of the human brain. Existing CCL models focus on formal context while neglecting the ...
At this year’s Credit Scoring and Credit Control Conference in Edinburgh, colleagues Ben Archer and Peter Szocs presented on a topic gaining significant attention: how federated learning can support ...
Abstract: In the evolving field of machine learning, ensuring group fairness has become a critical concern, prompting the development of algorithms designed to mitigate bias in decision-making ...
Theoretical and computational chemistry (TCC) is a set of theories and models that, over the years, were refined to the point that it is possible to determine measurable quantities with precision, ...
As modern manufacturing increasingly relies on artificial intelligence (AI), automation, and real-time data processing, the need for faster and more energy-efficient computing systems has never been ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results