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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Intel’s New Chips Focus On AI

Today, Intel launched and disclosed new technologies across its portfolio of processors, with special emphasis on enhanced AI capabilities. Unlike its many competitors, who either produce a CPU, a GPU, an FPGA or an AI-specific accelerator, Intel’s strategy is “all of...

Qualcomm Doubles Down On Automotive With New Snapdragon Platforms

A car that thinks, plans ahead, entertains, saves time, and ensures a safe and comfortable ride depends on AI-enabled silicon. Can Qualcomm Snapdragon become the leader in this revolution? They already have. The annual Snapdragon Summit (as usual, located in beautiful...

RISC-V Startup Esperanto Technologies Samples First AI Silicon

Select customers are now evaluating the chip; early results look promising across a broad range of AI workloads Esperanto has been talking about their edge AI chips for several years, and now the company can demonstrate working AI acceleration for image, language, and...

Amazon EC2 Inf1 Instances Now Support Amazon SageMaker

image: AWS Last year at AWS reInvent, out of the 100s of announcements, I chose the top 5 for overall, long-term impact. One of those was Amazon’s EC2 Inf1 Instances that used its new Inferentia machine learning inference chip. I chose Inf1 Instances as a top 5 for a...

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...

Using AI To Build Better Chips

With so many startups and large semiconductor firms racing to get new AI chips to market, electronic tool and design service firms like Synopsys, Cadence and Mentor Graphics are looking for new approaches to help designers speed their time to market. Ironically, one...

Could Graphcore’s Second Chip Challenge NVIDIA?

Graphcore, a UK-based startup, launched its first Intelligence Processing Unit (IPU) for AI acceleration in 2018. Today it introduced its second-generation product for AI, a massively parallel chip with 59.4 billion transistors that delivers some 250 Trillion...

The 2024 AI HW Summit: Here’s What Caught My Attention

The Summit drew over 1000 attendees this year, with scores of presentations and hundreds of AI leaders from large companies as well as many startups. Every September since 2019, the AI HW Summit in the Bay Area has been the focal point for new technologies around AI....

Speeding AI With Co-Processors

Most chips today are built from a combination of customized logic blocks that deliver some special sauce, and off-the-shelf blocks for commonplace technologies such as I/O, memory controllers, etc. But there is one needed function that has been missing; an AI...

IBM And Rapidus Will Collaborate To Build 2nm Chips In Japan.

IBM, who invented the tech everyone will use to create 2nm silicon, is partnering with Rapidus to bring it to market The world now realizes that major economies need to have reliable and secure access to semiconductors, the heart of the digital economy, not to mention...