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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IBM Announces Two Innovations To Advance Quantum Computing

Error Mitigation and Dynamic Circuits will unlock new era of exploration on IBM Quantum computers for at least the next five years. In addition to the new Osprey chip, IBM has announced two innovations at the annual Quantum Summit, one around error mitigation, and one...

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 Consequently, AMD’s performance claims are already out of date.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...

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....

The IBM Research AI Hardware Center: Solid Progress, Aggressive Goals

IBM AI acceleration technologies are becoming so good, most AI chip companies would be better off licensing core AI tech from IBM. Creating and using massive AI networks is quickly becoming unaffordable: Open.AI’s GPT-3 cost over $12M to train using thousands of GPU’s...

IBM Nears Breakthrough In New Memory Class

IBM Research has been working on new non-volatile magnetic memory for over two decades. Non-volatile memory is wonderful for retaining data without power, but it is extremely slow, and does not last forever. Primary computer memory (Dynamic Random Access Memory, or...

Mythic Launches Industry First Analog AI Chip

Mythic claims 400 TOPS with 1.28B parameters on 16-chip PCIe Card Please welcome new Cambrian-AI Analyst Gary Fritz, who contributed to this article. Artificial Intelligence applications are starting to show up in everything from cell phones to supertankers. But at...

AMD To Power ‘El Capitan’ Super Computer From HPE’s Cray

Last fall, as Cray was being acquired by Hewlett-Packard Enterprise for $1.6B, the company announced that it had been selected by the US DOE for two more exa-scale supercomputers based on the processor-agnostic Cray Shasta architecture. The Lawrence Livermore National...

Eliyan Technology May Rewrite How Chiplets Come Together

Company’s interconnect eliminates the need for expensive interposers, accelerating AI processing; could double the amount of memory for AI like ChatGTP, saving millions. Artificial Intelligence is finally having its iPhone moment. The launch of ChatGPT led to waves of...

Cerebras Unveils AI Supercomputer-On-A-Chip

Today unicorn startup Cerebras disclosed a few details about the wafer-scale AI chip it has been keeping under wraps for some three years. While many unanswered questions remain, the new approach could mark a significant milestone in the semiconductor industry, where...

How AI Changes The Role Of Memory Companies And Their Value

As GPU’s become a bigger part of data center spend, the companies that provide the HBM memory needed to make them sing are benefitting tremendously. AI system performance is highly dependent on memory capacity, bandwidth and latency. Consequently, memory technology is...