The Latest News in AI

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

NVIDIA AI Runs The Mlperf Table Again

Today, the industry standard AI benchmarking group, mlperf, released its 3rd raft of submissions for training AI networks, and just like the first two releases, NVIDIA swept a sparse competitive field in the category of commercially available hardware and software....

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...

EDA Vendors Help Intel Get The USA Back Into Chip Manufacturing

The US Semiconductor industry desperately needs to rebuild the country’s ability to produce the advanced chips that are the cornerstone of AI and every electronic device you can imagine. Most of those chips are built today in Taiwan by TSMC. Merely the thought of any...

Is Nvidia Competing With Its GPU Cloud Partners?

Nvidia recently announced two new cloud initiatives. First, the company announced DGX Cloud Lepton, designed to connect artificial intelligence developers with Nvidia’s wide network of cloud providers. Second, Nvidia announced a new cloud service, the Industrial AI...

Cambridge Quantum Computing: Taking The Open Source Route

Cambrian-AI Research Sr. Analyst Gary Fritz contributed this blog. AI has been advancing dramatically in the last decade. It is able to solve classes of problems (facial recognition, machine translation, autonomous vehicles, and others) that were not suitably handled...

IBM Research And The Full Stack Approach To Innovation

IBM’s vaunted research organization, one of the largest in the industry, thinks the path to innovation is to be taken as a team with clients and partners exploring the full stack needed to address a business challenge. We had a chance this week to hear how IBM...

The NewReality: Fast Inference Processing For 90% Less?

Most of the investment buzz in AI hardware concentrates on the amazing accelerator chips that crunch the math required for neural networks, like Nvidia’s GPUs. But what about the rest of the story? CPUs and NICs that pre- and post-process the query add significant...

The 2020 AI HW Summit: Beware The Benchmarks

The 3rd annual AI Hardware Summit concluded last week, after four days of mind-bending presentations, panels and discussions about the Cambrian Explosion in AI. For well over two years, many of us industry observers have waited for the players, big and small, to...

Synopsys Touts Smart “DesignDash” To Help Accelerate Chip Projects

Many chip design teams use internally developed tools or a mix of vendor tools to manage the development workflow. Now Synopsys is applying ML and Big Data analytics to inform a comprehensive dashboard to improve productivity and the end-to-end design process. Every...

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...