The Latest News in AI

We publish news articles on Forbes, which are copied here for your convenience.  

The Cambrian AI Landscape: Intel

Intel has adopted a "Domain-Specific Architecture" strategy espoused by John L. Hennessy, Alphabet Chairman and former President of Stanford University. Consequently, the company has at least one of everything: CPU, GPU, ASICs, and FPGAs. While this may appear to be a...

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This Cadence AI Super Agent Is World’s First To Automate Chip Design

The semiconductor industry has been applying AI to accelerate chip design for over three years, achieving 10X productivity gains and focusing primarily on tasks that now seem relatively easy, such as floor-plan optimization using massive recurrent neural networks. But...

Intel Lays Out Strategy For AI: It’s Habana

Last month, Intel announced that it would acquire Israeli AI chip startup Habana Labs for $2B. At the time, I opined that this probably spelled the end for chips from the 2016 Nervana acquisition. Intel planned to bring out both the inference and the training versions...

IBM Is Positioned To Lead In Quantum Computing

In the world of quantum computing, some of the world’s most important tech giants are striving to achieve a permanent advantage over classical computing, solving problems that simply cannot be solved using any number of classical computers. A bevy of start-ups are...

AMD Claims MI300X Is The World’s Fastest AI Hardware

The hardware looks quite capable, but the software optimization story has a long way to go to get close to Nvidia. But given the current demand/supply imbalance, I suspect AMD can sell all they can make. AMD launched the MI300 in San Jose to an anxious audience of...

Is The AMD GPU Better Than We Thought For AI?

MosaicML, just acquired by DataBricks for $1.3B, published some interesting benchmarks for training LLMs on the AMD MI250 GPU, and said it is ~80% as fast as an NVIDIA A100. Did the world just change? To be brutally honest, everyone wants to see a fight, between AMD...

My 2026 AI Predictions Have A Few Surprises

OK, I haven’t done this in a while; no excuse other than laziness. But here are ten concrete, defensible predictions for AI in 2026, with a bias toward things that materially matter for infra, enterprises, and policy. 1. Agentic AI moves from demos to staffed “digital...

The Raging Debate: When Will Quantum Arrive?

There has been considerable discussion and stock price volatility of late surrounding the expected timing of useful applications and hardware for quantum computing. One month after Google created excitement around its Willow quantum chip, Nvidia CEO Jensen Huang and...

Google AI Shot Heard Globally; Another Shoe Is About To Drop

The AI sphere is abuzz lately with news and rumors that the latest Google TPU, Ironwood, is powering the Gemini3 model, outpacing OpenAI on many metrics including intelligence and performance. Now, The Information, echoed by Bloomberg and CNBC, is reporting that...

Nvidia Improves Performance With 5x Faster AI. Yes, Software Matters.

Nvidia’s pre-emptive strike may blunt AMD MI300 news, pointing to the company's key advantage in AI software. AMD will host a big announcement this week in San Jose, where the company will announce details about its new flagship GPU for generative AI, the MI300....

SiMa.ai Sets A New Standard In Embedded Edge Power Efficiency

For power-constrained edge applications, SiMa tops the leader, NVIDIA Orin, according to the company’s recent MLPerf results and more. There’s big AI like ChatGPT, and then there is useful AI embedded at the edge. At in these environments, available power could be...