The Latest News in AI

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

NVIDIA Again Claims The Title For The Fastest AI; Competitors Disagree

Intel Habana Labs and Graphcore add scale and software optimizations, while Google skips this round, choosing to put a stake in the ground for half-trillion parameter models. Every six months, the AI hardware community gathers virtually to strut their hardware stuff...

NVIDIA Performance Trounces All Competitors Who Have The Guts To Submit To MLPerf Inference 3.0

But power matters, too. Qualcomm and SiMa.ai win in Edge Data Center and Embedded Edge respectively, while Neuchips wins in data center recommendations for power. Big News! There is a potential solution on the horizon to vastly broaden the field of benchmark...

Xilinx Readies Versal AI Edge For 2022 Availability

Platform includes updated AI Engine with 4- and 8-bit integer math, along with new memory architecture. Xilinx has just launched the first edge model of the flexible Versal ACAP (Adaptive Compute Acceleration Platform) family, the third Versal to be announced in...

Why Can’t NVIDIA Be Bested In MLPerf?

MLPerf, an industry consortium of over 70 companies and institutions, has released the second round of AI Inference processing results. These benchmarks now represent production applications from all major areas of AI deployment today. But only a few technologies...

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...

Qualcomm Ups The Snapdragon AI Game

The leader in premium mobile SoCs has applied AI across the entire platform. At the annual Snapdragon Summit in Hawaii, Qualcomm unveiled the next Snapdragon 8 Gen 2 for premium mobile devices. As usual, it is a tour de force of features that make Qualcomm-powered...

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...

Qualcomm Doubles The Smart In Smartphones

For the last decade, a “smart phone” was defined by its ability to run applications locally on the device. These days, however, “smart” means features powered by AI, with intelligent applications such as enhanced computational photography, voice processing and gaming...

Synopsys Has Helped Over 100 Clients Use AI To Accelerate Chip Design

The company’s DSO.AI is helping chip designers run more experiments, make smaller chips, and speed performance. Three years ago, EDA vendor Synopsys started helping clients use reinforcement learning, an AI technique, to accelerate and improve physical chip layout...

Promising Returns For Synopsys.ai Suite Of AI Solutions

Synopsys is seeing strong demand for its newer AI technologies in test, verification, manufacturing and analog migration, in addition to the ongoing need for design optimization (DSO.ai). Synopsys was the first Electronic Design Automation (EDA) company to provide AI...