Antivirus software is supposed to keep you safe, but lab tests reveal that many apps collect far more data than you might ...

Artificial intelligence is no longer a distant threat to jobs, it is a daily collaborator, competitor and filter for who even ...

In a sense, it sounds like that’s another facet of computational thinking that’s more relevant in the age of AI—the abstractions of statistics and probability in addition to algorithms and data ...

The AI infrastructure being built now decides if humans stay valuable or become obsolete. Your choices determine which future ...

Abstract: This paper explores the use of machine learning (ML) methods to identify "clusters" of basic emotions based on pleasure, arousal, and dominance (PAD). The data was obtained from the Dataset ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

We give an algorithms based on %the convex-programming primitive of Bregman projections. This algorithm has a competitive ratios that match some of the recent results given by Bubeck et al. (STOC 2018 ...

Abstract: Robust multiobjective optimization problems (RMOPs) widely exist in real-world applications, which introduce a variety of uncertainty in optimization models. While some evolutionary ...