The Latest News in AI

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

My 2026 AI Predictions Have A Few Surprises

OK, I haven’t done this in a while; no excuse other than laziness. But here are ten concrete, defensible predictions for AI in 2026, with a bias toward things that materially matter for infra, enterprises, and policy. 1. Agentic AI moves from demos to staffed “digital...

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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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Can CEO Lip-Bu Tan Save Intel?

After only 14 days on the job, Monday was showtime for Intel’s newest CEO, Lip-Bu Tan. During his keynote at the Intel Vision event in Las Vegas, Mr. Tan reiterated the messages communicated in his shareholder letter two weeks ago. He wants to focus Intel on...

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...

Cadence Design Announces Second-Generation IP For Edge AI

AI is penetrating nearly every market and every device, causing leading microprocessor developers to rethink their SoC to enable fast AI execution at low power. The global edge AI hardware market size was valued at $6.88 billion in 2020, and is projected to reach...

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...

New MLPerf Benchmarks Show Why NVIDIA Reworked Its Product Roadmap

Every six months, NVIDIA, Intel and Google show how much their AI training hardware and software have improved while their competitors hide in the bushes. NVIDIA is starting to see some competitive threats but remains the leader, especially in the scale of its...

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....

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...

NVIDIA Now Offers A Comprehensive Platform For Enterprise AI

Enterprises have been slow to adopt AI in a big way. Recent forecasts predict that is about to change, and NVIDIA wants to reap the benefits. Enterprise IT organizations can easily be put off by the amount of new technology they will have to master in order to adopt...

Cerebras, 23’s Most Successful AI Startup, Sees A Bright Future

With revenue and customer commitments approaching $1B, Cerebras’ Wafer Scale Engine has likely generated more business than all other startup players combined. Needless to say, CEO Andrew Feldman is feeling pretty bullish about 2024. As previously discussed, Cerebras...

IBM Adds AI Accelerator On Next Generation Z CPU

Transaction processing is the lifeblood of the modern enterprise. And with the next generation IBM Z processor, these applications will be able to run accelerated Artificial Intelligence (AI) processing directly on the platform, providing real-time analytic insights...