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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NeMo Megatron Reinforces NVIDIA AI Leadership In Large Language Models

LLMs are changing AI, and NVIDIA is changing its platform to excel in this fast-growing field Alberto Romero, Cambrian-AI Analyst, contributed to this story Transformer-based large language models (LLMs) are reshaping the AI landscape today. Since OpenAI established...

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,...

The Case for Hardware-Assisted Verification in Complex SoCs

This article was first published in EE Times. Synopsys recently launched two new hardware-assisted verification (HAV) systems, intended to address the need for specialized hardware to manage the complexity of modern chip design. In this article, we look at the...

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...

Meta Builds World’s Largest AI Supercomputer With NVIDIA For AI Research And Production

There are big implications, for both companies, beyond just bragging rights. Facebook, I mean Meta, has always been one of the industry leaders when it comes to AI research and deployment. The company processes hundreds of trillions (yes, trillions with a “T”) of...

MLPerf Shows AMD Catching Up With Nvidia’s Older H200 GPU

As you AI pros know, the 125-member MLCommons organization alternates training and inference benchmarks every three months. This time around, its all about training, which remains the largest AI hardware market, although not by much as inference drives more growth as...

AI Has Eaten IBM Think

AI pervades every session at the annual IBM event. The virtual event of “All Things IBM” has become “All Things AI”, from chips to software, Watson to SAP, and companies including SalesForce, Siemens, Natwest, Dow and others. Honestly, if I could search the Think...

Is Jensen Huang Nvidia’s Chief Revenue Destruction Officer?

At this year's GTC event in San Jose, Nvidia CEO Jensen Huang held over 25,000 people in the palm of his hand, captivated by his vision of AI and how it could transform the world we live in. Some folks in the audience couldn't keep up and started fiddling with their...

Tenstorrent Opens Office In Japan To Capitalize On RISC-V + AI

Is the company setting up the first RISC-V HPC win? Tenstorrent, the Toronto-based semiconductor company, now led by the super-star chip designer Jim Keller, has just opened a new office in Japan. So, as many other AI startups are struggling, Tenstorrent is doubling...

How Might OpenAI Outcomes Impact Nvidia, AMD, Intel And Microsoft?

The story keeps changing, but one thing is for sure. There will be one more AI vendor who will need tens of thousands of new GPUs. As the Loony Tunes saga continues, thanks to the OpenAI board of directors (”Th.. Th.. Th.. That’s all, Folks!”), a ton of meetings in...