MIT researchers say they have found a more efficient way to train machine learning models that predict how complex metal alloys will behave.

Abstract: In this paper, we analyze the effects of random sampling on adaptive diffusion networks. These networks consist in a collection of nodes that can measure and process data, and that can ...

Dr. Weatherby is the director of the Digital Theory Lab at New York University. Dr. Recht is a professor of electrical engineering and computer sciences at the University of California, Berkeley. See ...

Abstract: Untargeted poisoning membership inference (PMI) attacks are a newly emerging privacy threat that evaluates the impact of poisoned samples on the privacy leakage risk in the model's training ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine a newly revealed technique in ...

One of the key goals within the field of quantum computing is to achieve what is known as a quantum advantage. This term essentially describes the point after which a quantum computer can outperform a ...

Listen to some of the most notable sonic references on “GNX,” from SWV, Luther Vandross and Debbie Deb. By Lindsay Zoladz On Friday, the rap superstar Kendrick Lamar surprised everyone by releasing ...