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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MediaTek Aims To Become A Player In Huge Markets

MediaTek mobile phone SoCs have historically been considered a) Asian, and b) low end. Thats all about to change with their Dimensity 9300 chip, which also enables entry into markets like the IoT and automotive, where the company is partnering with Nvidia for Advanced...

The Cambrian AI Landscape: NVIDIA, The 800Lb Gorilla

NVIDIA is the 800 lb. gorilla in the AI hardware space. The company invests heavily in silicon, systems, and software to maintain that leadership position. This blog is an excerpt from the AI Competitive Landscape Report which is available to subscribers. Early...

Following MSFT & GOOG Lead, AWS Embraces Nvidia And Upgrades Own Chips

As expected, Amazon AWS CEO Adam Selipsky announced updated AWS-engineered AI Training and Arm CPU chips to lower the cost of cloud services. But AWS has a problem: they have kept Nvidia at arm’s length to their detriment as Microsoft Azure increases market share. To...

Cadence Creates “True Hybrid” Cloud For Designers

Instead of having to choose to run on-prem or in the cloud, with attendant upload times and costs, the new True Hybrid offering from Cadence creates a dynamic environment for chip and system design. When creating a new chip, design teams currently have to chose...

Has Google Turned A Corner In Quantum And AI Computing?

Google recently announced three new hardware platforms, including quantum, AI and Arm. And these chips are indeed impressive. OK, I'll admit it. I underestimated Google's ability to drive meaningful innovations in the computing realm. Yes, the company showed great...

With MLPerf, NVIDIA Wins, AGAIN!

While the new H100 GPU shows off its Transformer Engine in MLPerf, Intel advances with Gaudi-2 accelerator, and MosaicML shows A100 results nearly as good as H100 with their software. Every six months, MLCommons orchestrates and publishes on mlcommons.org over one...

NVIDIA Is Not A Chip Company. It’s A Platform Company.

NVIDIA extends its lead in accelerated computing, announcing platforms for the metaverse, healthcare, enterprise AI, autonomous vehicles, and data center security at the GTC Conference. NVIDIA, probably on its way to becoming a trillion dollar company, has been...

Untether AI Touts “At-Memory” Architecture, Promising Efficiency And Performance At The Edge

Every AI hardware startup begins at square one: design a novel architecture to accelerate deep neural network training and inference processing. Some focus on training, where performance is king, where even price is a secondary consideration in these early days of AI....

Is Nvidia Competing With Its GPU Cloud Partners?

Nvidia recently announced two new cloud initiatives. First, the company announced DGX Cloud Lepton, designed to connect artificial intelligence developers with Nvidia’s wide network of cloud providers. Second, Nvidia announced a new cloud service, the Industrial AI...

Why Intel Is Investing In Neuromorphic Computing

Intel certainly has a lot of irons in the AI fireplace, including Xeon CPUs, Movidius computer vision chips, MobileEye chips for autonomous driving and Deep Neural Network training and inference processing technology from the newly acquired Habana Labs. With all of...