More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems. It aims to strike a balance between traditional ...

RISC-V’s expanding role in AI is not a rejection of incumbent architectures, which continue to deliver performance and ...

As enterprises continue to explore different ways to optimize how they handle different workloads in the data center and at the edge, a new startup, Ubitium, has emerged from stealth with an ...

Panelists repeatedly highlighted that AI compute scaling is dramatically outpacing traditional Moore’s Law transistor ...

Consider how the brain processes information. It doesn’t store memories in neat boxes, and thoughts don’t always follow a straight path from point A to point B. Instead, the brain relies on a vast, ...

Research institutions face growing challenges managing large and complex datasets: Data volumes are increasing in size, variety, and velocity, while traditional, ad hoc data management practices lead ...

AI infrastructure is scaling fast, and its need for energy has moved firmly into the spotlight. News cycles are increasingly dominated by debates about AI’s impact on power systems, consumer energy ...