By Stephen Nellis and Max A. Cherney SAN JOSE, California, March 16 (Reuters) - Nvidia CEO Jensen Huang is set to detail the ...

New TorchPass solution addresses a multi-million dollar challenge with AI infrastructure; uses Live GPU Migration to keep ...

Making chips for training AI models made it the world’s biggest company, but demand for inference is growing far faster.

Long and complex hiring cycles As compared to software hiring, semiconductor recruitment cannot rely on rapid technical ...

BARCELONA, Spain, March 11, 2026 (EZ Newswire) -- iFLYTEK, a leading global AI company, showcased its full-stack AI hardware ...

By advancing more integrated tooling on the Arm compute platform, embedUR is reducing complexity, accelerating innovation, ...

Explore how software-defined manufacturing is revolutionizing the automotive industry with factory operating systems that ...

Researchers have developed photonic computing chips that overcome key limitations for a type of neural network known as a ...

The MTIA processors are the tech giant’s latest attempt to build its own AI hardware, even as it continues spending billions on gear from industry leaders like Nvidia.

These two semiconductor giants show no signs of slowing down as key customers accelerate their AI spending.

The annual show for the embedded electronics supply chain showcased many innovations in edge AI and connected, intelligent systems that can perceive and act in real time.

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