AI transformation depends on specialized chip innovation—power, cooling, cost, and design speed drive the next hardware era.

The proof-of-concept could pave the way for a new class of AI debuggers, making language models more reliable for business-critical applications.

The next decade’s defining competition isn’t about who builds the best AI, but who learns fastest — pitting U.S. frontier research against China.

As artificial intelligence (AI) becomes a fixture across a broad range of technological fields, AI technology continues to evolve at rapid rates.

Volatile markets do, however, incentivise entrepreneurs to build storage. Battery operators earn money by taking power from ...

The National Highway Traffic Safety Administration issued multiple recalls, including notices for vehicles from Ford, Ram and ...

Qualcomm had datacenter envy back when Intel ruled the bit barns of the world, and now it has it even worse now that Nvidia ...

In any multi-die assembly, stacking two or more active dies results in thermal stress. Heat dissipated from a lower die faces ...

Many economists say that the AI boom accounted for more than half of America's 1.6% growth rate over the first six months of ...

Philip Ball dives into the challenges in developing quantum computing, and building up investments and users for the tech ...

SK Telecom Advances Physical AI and Robotics With NVIDIA Omniverse NVIDIA Cloud Provider SKT plans to build an industrial AI cloud with NVIDIA RTX PRO™ 6000 Blackwell Server Edition GPUs in Asia, ...