Algorithms in clinical decision tools have been making it harder for certain racial and socioeconomic groups to receive the healthcare they deserve.

Researchers from Tokyo Metropolitan University have developed a suite of algorithms to automate the counting of sister ...

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.

Abstract: Direction of arrival (DOA) estimation using sensor arrays is a challenging task in noisy environments, especially when rapid convergence and efficient utilization of array elements are ...

The relentless advancement of artificial intelligence (AI) across sectors such as healthcare, the automotive industry, and social media necessitates the development of more efficient hardware ...

Abstract: Currently, adaptive filtering algorithms have been widely applied in frequency estimation for power systems. However, research on diffusion tasks remains insufficient. Existing diffusion ...