The Latest News in AI

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

Our Year-End Newsletter

With the end of the year at hand, we first want to thank you for being a follower of Cambrian-AI Research, and share a few thoughts about the industry. Our community has grown tremendously thanks to you reading our many blogs on Forbes. EE Times, and on this...

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The Snapdragon AI Journey

Preparing for the next leap ahead. Qualcomm Technologies, Inc. (QTI) has been researching, developing, and shipping AI acceleration on their Snapdragon processors for the past decade. QTI’s state-of-the-art AI technology is born from smartphones. It leverages its...

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...

Why Nvidia Is Entering The $30B Market For Custom Chips

Nvidia’s largest customers (e.g., Google, Amazon, Microsoft, Meta, and OpenAI) are developing AI chips that compete with Nvidia, presenting a potential long-term threat to the AI leader. Jensen’s response? “We can help you do that.” Warning: this blog contains...

Nvidia’s New HW Alleviates Concerns For Blackwell Transition

I awoke Sunday morning to an article in The Information written to instigate fear, uncertainty and doubt amongst Nvidia investors and users. Don’t worry. Nvidia’s got this. The article circulating this weekend highlighted the thermal challenges some customers face...

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...

Qualcomm Research Examines On-Device AI Learning

On-device training capability would enhance the user experience while protecting privacy. We’ve all had those frustrating experiences with our mobile phones when the voice assistant seems to possess artificial stupidity instead of artificial intelligence. The real...

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 Invests In AI Hardware

While the IBM hardware business today is limited to POWER and Mainframe chips and systems, the technology giant is quietly building its expertise and capabilities in AI hardware. Where this could end up is anybody’s guess, but here are a few thoughts about what IBM is...

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...

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...