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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Qualcomm Becomes A Mobile AI Juggernaut.

As we approach Nvidia GTC, its worth noting that there is another player in town. Or south of town, in San Diego: Qualcomm. The company has been building AI expertise and technology for over a decade, and we believe its lead over mobile rivals in both AI hardware and...

Is Graphcore’s Ecosystem Reaching A Tipping Point?

Company’s open-source software has matured significantly, and now the development community is taking over some of load. Graphcore has made significant advancements since we published the original version of our research paper on the company’s software in May 2020. We...

How To Run Large AI Models On An Edge Device

It can be done, but it requires the edge device vendor to work to optimize the model. A hybrid approach can also extend the applicability of LLMs by combining Cloud and Edge processing. When most people think of Artificial Intelligence (AI), they imagine a berserk...

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)...

Synopsys Laps Competition With Second Generation AI

EDA Leader Synopsys paints path to Software-Designed Si Last year, EDA leader Synopsys announced it had developed an AI chip design instrument called DSO.ai that could produce faster, lower cost, and more power-efficient chips by using an AI to figure out how to best...

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...

Cerebras Systems And G42 Build 2nd Phase Of Joint AI Supercomputer

The only AI Hardware startup to realize revenue exceeding $100M has finished the first phase of Condor Galaxy 1 AI Supercomputer with partner G42 of the UAE. Other Cerebras customers are sharing their CS-2 results at Supercomputing ‘23, building momentum for the...

Following MSFT & GOOG Lead, AWS Embraces Nvidia And Upgrades Own Chips

As expected, Amazon AWS CEO Adam Selipsky announced updated AWS-engineered AI Training and Arm CPU chips to lower the cost of cloud services. But AWS has a problem: they have kept Nvidia at arm’s length to their detriment as Microsoft Azure increases market share. To...

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...

Ventana Micro Launches Server-Class RISC-V CPU, Challenging Arm

The company announces the industry’s highest performing RISC-V CPU for SOC designers building domain-specific chips. The semiconductor industry is on the verge of a major transition to chiplet-based designs and domain-specific solutions. And RISC-V, the open-source...