This is not about replacing Verilog. It’s about evolving the hardware development stack so engineers can operate at the level of intent, not just implementation.
At GTC 2026, Jensen Huang’s real message wasn’t about hardware. It was about inference, agents, and Nvidia’s attempt to define the next phase of the AI economy.
Alarm bells are ringing in the open source community, but commercial licensing is also at risk Earlier this week, Dan ...
Nvidia used GTC 2026 to unveil new physical AI models, simulation tools, and robotics partnerships aimed at factories, healthcare, and logistics.
When you're trying to get the best performance out of Python, most developers immediately jump to complex algorithmic fixes, using C extensions, or obsessively running profiling tools. However, one of ...
Adaptable robotic systems incorporating AI, new vision tech and low-code programming are being used to tackle frequent ...
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Leo reveals Intel Core Ultra 200S news
While Leo tests the actual hardware for the later launch, the embargo on the news we can publish has released. So Leo gives his thoughts on the new hardware, what Intel are claiming and what impact ...
Vanderbilt's undergraduate, graduate and professional schools are taking on the challenges of an ever-evolving world with dozens of new courses and ...
Ocean Network today announced the official Beta launch of its decentralized peer-to-peer (P2P) compute orchestration layer. Singapore, March ...
Researchers at a Melbourne start-up have taught their “biological computer” made from living human brain cells to play Doom.
Strategic collaboration combines FANUC's global robotics leadership with NVIDIA AI computing and simulation platforms to deliver intelligent, adaptable automation for the factory of the future.
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