Many companies are moving away from general-purpose AI hardware like GPUs and toward their own custom chips. This is how to ...

This article outlines the design strategies currently used to address these bottlenecks, ranging from data center systolic ...

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for ...

Investors should know the difference between AI training and AI inference.

GPU-based sorting algorithms have emerged as a crucial area of research due to their ability to harness the immense parallel processing power inherent in modern graphics processing units. By ...

Nvidia's DLSS is a clutch of machine learning-powered image rendering technologies that come in handy for boosting the frame ...

Brain-inspired AI-hardware mimics neural efficiency to cut energy use, enabling autonomous devices to navigate, adapt and make real-time decisions independently.

PaleBlueDot AI, a Silicon Valley-based cloud platform offering scalable unified graphics processing unit clusters across the globe for artificial intelligence inference and long-duration workloads, ...

Low-density parity-check (LDPC) codes represent one of the most effective error-correcting schemes available, approaching Shannon’s theoretical limit whilst maintaining a relatively low decoding ...

LinkedIn is rebuilding its main feed algorithm with a new ranking system powered by advanced large language models (LLMs) and ...