A study led by UC Riverside researchers offers a practical fix to one of artificial intelligence's toughest challenges by ...

What if traffic could compute? This may sound strange, but researchers at Tohoku University's WPI-AIMR have unveiled a bold ...

The Southwest Power Pool (SPP), which manages the state's grid, received federal approval for a proposal to quicken the review process for some large electricity users.

Aligning Business Practices For Compliance With Vietnam’s New Personal Data Protection Regulations. Legal News and Analysis - Vietnam - Regulatory & Compliance - Conventus Law ...

Delve into the concept of sharding in cryptocurrency, a partitioning technique that divides blockchain networks into smaller ...

Hyperscale data centers are now powering AI models with a revolutionary architecture—at a staggering energy cost.

WHAT IS THE EU DATA ACT ? The EU Data Act (Regulation (EU) 2023/2854), applicable from September 12, 2025, introduces a comprehensive legal framework aimed at enhancing data portability, ...

Nvidia management expects to benefit from the huge $3-4 trillion in AI infrastructure spending over the next five years. Nvidia’s competitive advantage remains solid as it continues to lead in ...

The world of artificial intelligence is moving beyond the cloud and into our everyday devices from smart sensors to robotics and AR/VR headsets. One of the key components that enables this shift is a ...

When it comes to AI, many enterprises seem to be stuck in the prototype phase. Teams can be constrained by GPU capacity and complex and opaque model workflows; or, they don’t know when enough training ...

Data center capacity has become a barometer for both the health of the tech market and the risk of an A.I. bubble. By Ian Frisch Trillions of dollars are flowing into the data centers needed to power ...

Abstract: In the era of large-scale machine learning, large-scale clusters are extensively used for data processing jobs. However, the state-of-the-art heuristic-based and Deep Reinforcement Learning ...