The evolution of software architecture is contributing to increasing energy consumption.

Software extends far beyond desktops. Embedded systems operate inside vehicles, medical devices, industrial machines, and ...

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

Wei’s approach centers on “software-defined near-memory computing,” using 3D hybrid bonding to stack 14nm logic dies with ...

Nvidia is leaning on the hybrid Mamba-Transformer mixture-of-experts architecture its been tapping for models for its new ...

How CPU-based embedding, unified memory, and local retrieval workflows come together to enable responsive, private RAG ...

Advantest announces the Memory Handler M5241, its next-generation handler developed to meet the performance, automation and ...

With its Blackwell architecture well established on AI data centers, cloud services, workstations, and desktop/laptop PCs, ...

Most organizations operate under a dangerous misconception that their data is safe with encryption at rest and in transit.

To prevent jitter between frames, Kuta explains that D-ID uses cross-frame attention and motion-latent smoothing, techniques that maintain expression continuity across time. Developers can even ...

Nemotron 3 shows how Nvidia is using open models, tooling, and data to turn raw compute into deployable intelligence and ...

Depending who you ask, AI-powered coding is either giving software developers an unprecedented productivity boost or churning ...