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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Cerebras Announces Pay-As-You-Go AI Training On Cirrascale Cloud

Company claims it can train AI 8X faster than AWS at half the cost for large models.Cerebras is not your typical AI chip company. And thats a good thing. We already have a lot of knock-offs taking on NVIDIA, and they all seem to do a good job of knocking only...

If The Arm Deal Fails, NVIDIA Is Fine, But Arm May Struggle

European regulators are again expressing concerns about the impact on competition. But the alternatives for Arm could be worse. NVIDIA does not need to acquire Arm to keep growing like a weed. The acquisition would add to NVIDIA’s revenue and growth, to be sure, but...

Perceive AI Launches 2nd Edge AI Chip For Low Power Applications

Company claims Ergo2 is up to four times faster than Perceive’s first-generation Ergo chip, and can handle much larger models such as NLP. Edge AI is coming into its own, with a variety of chips being launched that offer low cost, low power, and high performance....

IBM Shares AI Strategy And A Wealth Of Customer AI Results

Under CEO Arvind Krishna’s leadership and AI’s momentum, IBM has truly transformed its business, technology, and leadership. I should know; I worked there as an exec from 2000 to 2010. Now IBM is all about AI and Hybrid Cloud, with Quantum computing in sight. Lucky...

IBM Teams With AMD For Cloud AI Acceleration

This could be quite telling, as IBM had previously been using Nvidia for it’s internal cloud AI research. IBM has selected AMD to provide AI accelerators for the IBM Cloud. This is another milestone for AMD, which needs cloud adoption to achieve its goals. And IBM...

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 Research Secures Future Safe From Quantum Attacks

Quantum computing will bring unimagined innovations to the world when it finally arrives in full glory. Still, quantum remains in the research labs at companies like IBM, Google, and Microsoft. While companies and research institutions are investing billions of...

NVIDIA GTC ’20 Could Be Massive

As we approach NVIDIA’s annual GPU Technology Conference, everyone is anxious to see what CEO Jensen Huang has up his trademark black leather sleeves. I have no idea, but as usual, I have an opinion. An intro to GTC GTC is NVIDIA’s partners’ big annual opportunity to...

NVIDIA Keeps The Performance Crown For AI Inference For The 6th Time In A Row

In The Data Center And On The Edge, the bottom line is that the H100 (Hopper-based) GPU is up to four times faster than the NVIDIA A100 on the newly released ​MLPerf V2.1 benchmark suite. The A100 retains leadership in many benchmarks versus other available products...

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...