As the era of AI agents—systems that can reason and act autonomously—begins, the power consumption of data centers is ...

Abstract: Reinforcement Learning (RL) serves as a fundamental learning paradigm in the field of artificial intelligence, enabling decision-making policies through interactions with environments.

Sparse tensors are the most used representation of sparse multidimensional data. Operations that decompose them, selecting their most important features while reducing their dimension, have become ...

Anthropic is reportedly exploring a potential partnership with Samsung as it evaluates developing its own AI chip, marking ...

Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...