The Latest News in AI

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

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...

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IBM Research Touts AI Supercomputer For Foundation AI

IBM has built a supercomputer, named Vela, in the IBM Cloud to help its scientists create and optimize new AI models.AI needs a lot of horsepower. IBM AI Research, which has been investigating new digital and analog processor technologies to speed the calculations AI...

An Update On Intel And Habana Labs

Last week, I reported that Intel plans to switch its AI acceleration from Nervana technology to Habana Labs, which it acquired in December. Since Intel had planned to bring out both the inference and the training versions of Nervana’s second generation, this came as...

Qualcomm Cloud AI 100 Is 3X More Efficient. What’s Missing?

New MLPerf benchmarks lay a solid foundation; now the company needs to finish the job. As the Cambrian Explosion reverberates across the landscape of AI chips, the benchmarking silence of many challengers stands in sharp contrast to their marketing hype. Most are...

AI Startup Tsavorite Emerges With $100M In Orders, 10X Performance

Another player has entered the AI semiconductor arena, and they’re not holding back. Tsavorite Scalable Intelligence, a Silicon Valley startup, has come onto the scene with bold performance claims, just a week before the SC25 event in St. Louis, Missouri. While their...

Will NVIDIA Enter The Race For Quantum Computing?

Well, not directly. However, the company is making it easier to develop code for quantum machines using GPUs. Ok, let's face it. Programming quantum computers is hard. REALLY hard. While we do not expect NVIDIA to develop and market their own quantum system any time...

IBM Research Says Analog AI Will Be 100X More Efficient. Yes, 100X.

IBM AI Hardware Research Center has delivered significant digital AI logic, and now turns their attention to solving AI problems in an entirely new way. Gary Fritz, Cambrian-AI Research Analyst, contributed to this article. AI is showing up in nearly every aspect of...

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...

Big AI Inference Has Become A Big Deal And A Bigger Business

Thanks to innovations like DeepSeek, training AI has become cheaper. However, inference is becoming more demanding as we ask AI to think harder before answering our questions. Nvidia, Groq, and Cerebras Systems (clients of Cambrian-AI Research) have all released...

Graphcore Launches 3rd-Gen AI With Wafer-On-Wafer (WoW!) Technology

Startup also teases $120M Brain-Scale AI “Good Computer” For 2024 Remember Intel’s old Tick-Tock processor roadmap? The company alternated between two approaches, bringing out a new generation featuring architectural enhancements, then subsequently shrinking that chip...

Nvidia Announces Rubin CPX GPU To Speed Long-Context AI

In an industry-first, Nvidia has announced a new GPU, the Rubin CPX, to offload the compute-intensive “context processing” off another GPU. Yep, now, for some AI, you will need two GPUs to achieve maximize performance and profit. I would be surprised if the...