Currently, AI companion robots come in various forms, including simulated pets and desktop robots.

AI infrastructure is the specialized combination of high-performance computing hardware, data centers, networking systems, ...

In the past, the CPU was the undisputed center of computing. But today, the GPU has taken that crown—not by replacing the CPU ...

A new technical paper titled “New Tools, Programming Models, and System Support for Processing-in-Memory Architectures” was ...

It has taken nearly two decades and an immense amount of work by millions of people for high performance computing to go ...

For UINTAH, combining asynchronous tasking with Kokkos was crucial. One part provides resilience against delays and ensures that there is always work ready. The other part makes that execution ...

The infrastructure gap is particularly pronounced in tier-2 and tier-3 cities, where many engineering colleges operate with limited resources. This regional disparity could exacerbate existing ...

This is a good time for parallel computer development and research in both academia and industry. The performance improvements predicted by Moore's Law have proven to be quite accurate over many years ...

As the parameter scale of large models surpasses trillions, traditional cloud computing architecture is undergoing a paradigm ...

These are exciting times for computing, where context aware reasoning and domain specific compiler optimizations could represent an entirely new level of computing.

By mimicking the brain’s neurons and synapses, neuromorphic computing is enabling smarter, energy-efficient AI systems. A ...

Nvidia Corporation excels in AI dominance with CUDA's 90%+ share, margins, and China growth. Click for why NVDA is a top long-term equity with a $210–$220 target.