The Latest News in AI

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

AI Training: “I’m Not Dead Yet!”

With so much focus on inference processing, it is easy to overlook the AI training market, which continues to drive gigawatts of AI computing capacity. The latest benchmarks show that the training of AI models, an immense investment in power and compute, continues to...

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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...

Intel To Separate Programmable Solutions Group (PSG); IPO Seen In Next 2-3 Years

Thanks to Microsoft’s appetite for FPGAs in the data center, the programmable hardware chips were a hot story in 2015. So, Intel acquired Altera for $16.7B. Then AMD acquired Altera’s biggest competitor, Xilinx, in 2022 for a whopping $50B. Now, unsurprisingly, Intel...

IBM Launches Quantum System Two And A Roadmap To Quantum Advantage

IBM announced its path to achieve over 100,000 qubits and over a billion circuit gates. When realized, IBM may create the world's first platform for universal computation in a quantum system. It sounds like Quantum Nirvana is finally in sight. Background Building a...

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...

Will NVIDIA Enter The Race For Quantum Computing?

Well, not directly. However, the company is making it easier to develop code for quantum machines using GPUs. Ok, let's face it. Programming quantum computers is hard. REALLY hard. While we do not expect NVIDIA to develop and market their own quantum system any time...

Nvidia AI Foundry And NIMs: A Huge Competitive Advantage

Nvidia has fleshed out a complete software stack to ease custom model development and deployment for enterprises. Is this AI Nervana? And can AMD and Intel compete with this? In order for enterprises to adopt AI, its got to become a lot easier and more affordable....

AI Hardware: Harder Than It Looks

The second AI HW Summit took place in the heart of Silicon Valley on September 17-18, with nearly fifty speakers presenting to over 500 attendees (almost twice the size of last year’s inaugural audience). While I cannot possibly cover all the interesting companies on...

AI Has Eaten IBM Think

AI pervades every session at the annual IBM event. The virtual event of “All Things IBM” has become “All Things AI”, from chips to software, Watson to SAP, and companies including SalesForce, Siemens, Natwest, Dow and others. Honestly, if I could search the Think...

A Deeper Look Into Qualcomm’s MLPerf Results

Qualcomm not only bested the entire field for power efficiency, a 16-card server was the fastest tested. Qualcomm, perhaps best known for its leadership Snapdragon mobile platform, has further enhanced its AI bona fides with V1.1 MLPerf inference benchmark suite...

IBM Research Says Analog AI Will Be 100X More Efficient. Yes, 100X.

IBM AI Hardware Research Center has delivered significant digital AI logic, and now turns their attention to solving AI problems in an entirely new way. Gary Fritz, Cambrian-AI Research Analyst, contributed to this article. AI is showing up in nearly every aspect of...