Memory swizzling is the quiet tax that every hierarchical-memory accelerator pays. It is fundamental to how GPUs, TPUs, NPUs, ...

Humans and most other animals are known to be strongly driven by expected rewards or adverse consequences. The process of ...

A new study has revealed that neural inhibition and balanced neural activity in a specific area of the brain is required for ...

GPUs, born to push pixels, evolved into the engine of the deep learning revolution and now sit at the center of the AI ...

More RAM is always welcome, but it’s now becoming standardized. More apps are tuned for 16GB of memory, especially anything ...

Both cloud-based and edge AI hardware will continue getting better, but the balance may not shift in the NPU’s favor. “The cloud will always have more compute resources versus a mobile device,” said ...

The top predictions from Arm for 2026 as the world enters a new era of intelligent computing. The world’s relationship with compute is changing — from centralized clouds to distributed intelligence ...

Complexity mounts, driven by multiple dies, larger and more complex systems, and the incessant demand for performance improvements everywhere.

To cope with the memory bottlenecks encountered in AI training, high performance computing (HPC), and other demanding ...

Discover the best Lenovo LOQ laptop models designed for engineering students. Featuring powerful Intel HX/AMD Ryzen ...

There are challenges and solutions for processing AI workloads on-device to achieve consistent performance, reduce costs, and ...