The Latest News in AI

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

IBM Nears Breakthrough In New Memory Class

IBM Research has been working on new non-volatile magnetic memory for over two decades. Non-volatile memory is wonderful for retaining data without power, but it is extremely slow, and does not last forever. Primary computer memory (Dynamic Random Access Memory, or...

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The Cambrian AI Landscape: Qualcomm

Can the mobile chip giant finally break into the data center? Qualcomm began sampling the Cloud AI100 to select data center customers last quarter.  The performance looks to be promising, based on the limited benchmarks we have seen, and the power efficiency for...

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AI Cambrian Explosion: 2021 Predictions

For the last two years, in January, I have published my predictions about the new AI silicon I expect in the coming year. Like the weatherman, I’ve gotten some details wrong but I’ve been reasonably accurate, at least directionally. So, here we go again with a look at...

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The Cambrian AI Landscape: GROQ

Ex-Google TPU engineers have been there and done that! Startup Groq is now sampling its AI platform to select customers and claims to have built the most efficient DNN processor in the industry. However, we need more transparency to substantiate this claim, in my...

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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...

Nvidia Ups Its Robotics Game With Blackwell-Based Jetson Thor

Nvidia focuses on maximum performance and efficiency. We’ve all heard the predictions: the Next Big Thing will be “Physical AI” (Nvidia) or “Embodied AI” (Qualcomm). Jensen Huang has predicted that in a decade, there will be more robots than humans on Earth. These...

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...

Intel’s New Chips Focus On AI

Today, Intel launched and disclosed new technologies across its portfolio of processors, with special emphasis on enhanced AI capabilities. Unlike its many competitors, who either produce a CPU, a GPU, an FPGA or an AI-specific accelerator, Intel’s strategy is “all of...

New Cerebras Wafer-Scale Cluster Eliminates Months Of Painstaking Work To Build Massive Intelligence

The architecture eliminates the need to decompose large models for distributed computing to train: Push-button AI? The hottest trend in AI is the emergence of massive models such as Open AI’s GPT-3. These models are surprising even its developers with capabilities...

Intel Lays Out Strategy For AI: It’s Habana

Last month, Intel announced that it would acquire Israeli AI chip startup Habana Labs for $2B. At the time, I opined that this probably spelled the end for chips from the 2016 Nervana acquisition. Intel planned to bring out both the inference and the training versions...

Tenstorrent Scores Big Win At LG

The companies will collaborate to build RISC-V, AI, and Video Codec chiplets for future automotive and TV products. We’ve been following the Toronto-based startup Tenstorrent for the last several years, where CEO Jim Keller is now steering multiple advanced designs...

IBM And Rapidus Will Collaborate To Build 2nm Chips In Japan.

IBM, who invented the tech everyone will use to create 2nm silicon, is partnering with Rapidus to bring it to market The world now realizes that major economies need to have reliable and secure access to semiconductors, the heart of the digital economy, not to mention...

Qiskit Comes Of Age With Quantum Performance, New Features From IBM

Qiskit has emerged as the go-to development platform for quantum coders, with over 550,000 users developing quantum circuits to run on quantum machines from eight vendors. IBM Research launched Qiskit (the "Quantum Information Science Kit") in 2017 to provide...

NVIDIA Outperforms Itself Once Again

When the only company you can beat is yourself, what do you do? After all, you are the leader, right? And nobody else is even suited up and on the court. Some companies might rest on their laurels, saving money and slowing down R&D. NVIDIA is not one of those...