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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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...

Synopsys Opens The Next Chapter Of AI Tools For Chip Design And Manufacturing

The EDA leader has generated over $500M to date in AI tools and technologies. Now a new data analytics solution applies data management, curation, and analysis across the entire pipeline of chip creation. Synopsys was the first EDA company to apply AI to chip design,...

NVIDIA Is Not A Chip Company. It’s A Platform Company.

NVIDIA extends its lead in accelerated computing, announcing platforms for the metaverse, healthcare, enterprise AI, autonomous vehicles, and data center security at the GTC Conference. NVIDIA, probably on its way to becoming a trillion dollar company, has been...

News Flash: NVIDIA Remains The Fastest Available AI Accelerator

Ok, while that is hardly surprising news, given the comfortable lead NVIDIA enjoys, Google’s upcoming TPUv4 out-performed NVIDIA on three of eight benchmarks on a chip-to-chip basis, while Graphcore’s performance and price/performance is in the ball park. Meanwhile,...

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...

Skipping Nvidia Left Amazon, Apple And Tesla Behind In AI

Everyone thinks they are a comic. And everyone in big cap high tech thinks they can design better and/or cheaper AI chip alternatives to the industry-leader, Nvidia. Turns out, it’s simply not that easy. Apple and AWS have recently run aground in AI growth, and Tesla...

Cerebras Update: The Wafer Scale Engine 3 Is A Door Opener

Cerebras held an AI Day, and in spite of the concurrently running GTC, there wasn’t an empty seat in the house. As we have noted, Cerebras Systems is one of the very few startups that is actually getting some serious traction in training AI, at least from a handful of...

Qualcomm Makes Its Push For PC Relevance, Leading With AI

Qualcomm gave us an end-of-year update on the new Snapdragon X Elite, the company’s bold effort to create an Arm-based PC ecosystem. The future looks bright, especially if Qualcomm can incentivize ISVs to natively port to Arm. Last September, Qualcomm focused its...

The Sounds Of The AI Benchmark War: Crickets

NVIDIA once again dominated a near-empty field of AI competitors in MLPerf Inference V2.0. Let’s explore why other chip companies don’t want to play. Industry standard benchmarks have been an important feature of the IT landscape for decades, with SPEC, TPC, and other...

Nvidia Ups Its Robotics Game With Blackwell-Based Jetson Thor

Nvidia focuses on maximum performance and efficiency. We’ve all heard the predictions: the Next Big Thing will be “Physical AI” (Nvidia) or “Embodied AI” (Qualcomm). Jensen Huang has predicted that in a decade, there will be more robots than humans on Earth. These...