The Latest News in AI

We publish news articles on Forbes, which are copied here for your convenience.  

Will Open AI’s o1 Reasoning Model Really Change The World?

OpenAI launched Strawberry — another name for its its 01 model — on Sept. 12, including the full function o1-preview and the more affordable o1-mini to demonstrate how AI can be greatly improved by breaking a query down into step-by-step reasoning. This...

Is The AMD GPU Better Than We Thought For AI?

MosaicML, just acquired by DataBricks for $1.3B, published some interesting benchmarks for training LLMs on the AMD MI250 GPU, and said it is ~80% as fast as an NVIDIA A100. Did the world just change? To be brutally honest, everyone wants to see a fight, between AMD...

Synopsys Moves To RISC-V To Help SoC Developers

When the number two provider of CPU designs jumps on the RISC-V train, it is a significant milestone. The open-source RISC-V design is on a roll, displacing Arm in many SoC development plans. ARC and Arm are both companies that design and license microprocessor (CPU)...

Putting HPC To Work To Accelerate COVID-19 Research

The US arsenal of supercomputers has officially been opened up for COVID-19 research. The White House recently announced the new COVID-19 High Performance Computing Consortium, which will allow researchers worldwide to access to the world’s most powerful HPC resources...

Synopsys Launches First 1.6T Ethernet To Accelerate AI Data Centers

Normally, an AI Industry Analyst like myself would not take notice of a new version of Ethernet; its IP is fairly staid technology these days. But now the demands of high performance AI has changed the game, again. CPU, Accelerators, and Switch vendors depend on...

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...

Breaking: AMD Is Not The Fastest GPU; Here’s The Real Data

At the MI300 launch, AMD claimed it had significantly better performance than Nvidia. While the AMD chip does look good, and will probably run most AI just fine out of the box, the company did not use the fastest Nvidia software. The difference is enormous. At a...

The Age of Chiplets is Upon Us

The idea of chiplets is simple: develop the best semiconductors for the needed functions using the most proper manufacturing process. Then combine an assortment of chiplets on a multi-die package, and voila! A lower-cost approach to advanced semiconductors. The...

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...

MLPerf 5.1: Nvidia Stays In The Lead While AMD Shows Off Its Latest

The Nvidia juggernaught faces increased competition, but keeps innovating in silicon, software and systems design to keep its No. 1 position in the AI market. The industry standard MLCommons organization has just released the latest benchmarks for inference...