The Latest News in AI

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

ChatGPT: Massive Disruption

Our relationship with computers will never look the same. Here are the winners and losers. The web, the media, and my email are entirely full of ChatGPT missives and questions. I’ve spent hours with scores of investors, all wanting to understand the impact on...

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Tenstorrent Shifts Leadership Roles

The Toronto-based startup is growing fast, swapping CEO and CTO roles, and laying out a compelling roadmap for AI and RISC-V. Tenstorrent, a Toronto-based startup who raised over $200M in venture funding at a $1B valuation in May, 2021, has now grown to over 280...

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Will AMD’s MI300 Beat NVIDIA In AI?

The upcoming MI300, which will ship Latter this year after NVIDIA’s Grace/Hopper Superchip, certainly has a shot at it. But there remain a lot of unknowns that will determine how well it performs for AI applications. And then there is Software. Yeah, Software. Lots of...

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If You Love AI, Do Not Miss NVIDIA GTC This Year!

I just got an email from NVIDIA touting this year’s GTC event (April 12-16) and have to share this with you, in case you haven’t already heard. The virtual graphics, AI, and HPC event will headline AI pioneers Yoshua Bengio (University of Montreal), Geoffrey Hinton...

Qualcomm Technologies AI Software: Broad And Deep AI.

Qualcomm software supports multiple hardware accelerators in both Snapdragon and Cloud implementations, while making it easy for developers. We have taken a deeper look into the software that makes Snapdragon the best AI for mobile devices and enables the Cloud AI100...

Qualcomm Launches Unified AI Stack For Cloud To Edge Intelligence

The new Qualcomm AI Stack lays the foundation for domain-specific SDK’s While advances in AI accelerators have improved silicon performance by over a thousand-fold, it’s software that turns bits of silicon into useful capabilities for consumers and businesses. After...

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...

The Graphcore Data Center Architecture

The Graphcore disaggregated accelerator could be a game changer. I have recently finished a research paper looking into the data center architecture for deploying the Graphcore IPU-Machine, which is a network-attached accelerator for highly-parallel workloads. Lets...

Two Can’t-Miss Events For AI Hardware

There are two conferences coming up that AI developers, executives, and investors should consider attending to get the latest from the industry’s leaders and challengers. I will attend both and I hope to see many of my readers there! Let’s take a closer look at what’s...

Cerebras Systems And G42 Build 2nd Phase Of Joint AI Supercomputer

The only AI Hardware startup to realize revenue exceeding $100M has finished the first phase of Condor Galaxy 1 AI Supercomputer with partner G42 of the UAE. Other Cerebras customers are sharing their CS-2 results at Supercomputing ‘23, building momentum for the...

Who Wins If The New Biden AI Export Rules Stand?

While Nvidia and the European Union have expressed their displeasure with the latest salvo of AI export restrictions from the Biden administration, a few companies and countries could actually benefit from them. But the industry as a whole will suffer, and so will...

NVIDIA DGX Cloud Gives CSPs And Their Customers Exactly What They Want: Fast AI, Fast

NVIDIA’s offering integrates the company’s best GPU hardware and software into AI Supercomputers of virtually any size in the cloud, enabling enterprises to build and deploy AI without infrastructure hassles. While some may confuse this as NVIDIA competing with cloud...