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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AI Training: “I’m Not Dead Yet!”

With so much focus on inference processing, it is easy to overlook the AI training market, which continues to drive gigawatts of AI computing capacity. The latest benchmarks show that the training of AI models, an immense investment in power and compute, continues to...

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Qualcomm Is Rightly Proud Of Its New AI Hub

The mobile chip giant has released a new App Store for AI developers, with over 75 models in its “zoo” and support for every modern Snapdragon chip. Have you ever tried to stand up the infrastructure and software required for inference processing? It is complicated....

Cerebras Systems Lays The Foundation For Huge Artificial Intelligence

Startup announces technology to enable a 120-trillion-parameter model on the way to brain-scale AI. OK, I thought I was done with preparing for HotChips, having prepared six blogs and three research papers. I was ready to take a few days off. Nonetheless, I decided to...

Enhanced Memory Grace Hopper Superchip Could Shift Demand To NVIDIA CPU And Away From X86

The company’s new high bandwidth memory version is only available with the CPU-GPU Superchip. In addition, a new dual Grace-Hopper MGX Board offers 282GB of fast memory for large model inferencing. The AI landscape continues to change rapidly, and fast memory (HBM)...

Cadence AI Can Increase Chip Design Quality And Chip Designer Productivity Over 1000%

EDA company’s clients have finished hundreds of new tapeouts using Cadence Cerebrus AI to speed development and make chips that run faster, use less energy, and cost less. For Cadence, AI is all about increasing engineering teams’ productivity, speeding higher...

Qualcomm Launches Unified AI Stack For Cloud To Edge Intelligence

The new Qualcomm AI Stack lays the foundation for domain-specific SDK’s While advances in AI accelerators have improved silicon performance by over a thousand-fold, it’s software that turns bits of silicon into useful capabilities for consumers and businesses. After...

Qualcomm Doubles The Smart In Smartphones

For the last decade, a “smart phone” was defined by its ability to run applications locally on the device. These days, however, “smart” means features powered by AI, with intelligent applications such as enhanced computational photography, voice processing and gaming...

The Cambrian AI Landscape: NVIDIA, The 800Lb Gorilla

NVIDIA is the 800 lb. gorilla in the AI hardware space. The company invests heavily in silicon, systems, and software to maintain that leadership position. This blog is an excerpt from the AI Competitive Landscape Report which is available to subscribers. Early...

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...

AMD Launches New GPU And EPYC CPU Right Across NVIDIA’s Bow

The Instinct MI200 is nearly five times faster than the NVIDIA A100 for HPC, but is theoretically only 20% faster for AI. One year ago I complained that the newly announced AMD MI100 GPU was great for HPC, but inadequate for most AI workloads. Now AMD has announced...

AMD Launches MI325 AI Accelerator To Challenge Nvidia. Stock Fell 4.5%

Chasing Nvidia is hard; Team Green simultaneously countered with new software that can triple AI performance. Consequently, AMD’s performance claims are already out of date. And AMD compared it against the older Hopper, not Blackwell which will ship long before the...