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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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...

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...

AMD Announces MI350 GPU And Future Roadmap Details

AMD held their now-annual Advancing AI event today in Silicon Valley, with new GPUs, new networking, new software, and even a rack-scale architecture for 2026/27 to better compete with the Nvidia NVL72 that is taking the AI world by storm. Let’s dive in! Net-Net...

The Sounds Of The AI Benchmark War: Crickets

NVIDIA once again dominated a near-empty field of AI competitors in MLPerf Inference V2.0. Let’s explore why other chip companies don’t want to play. Industry standard benchmarks have been an important feature of the IT landscape for decades, with SPEC, TPC, and other...

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...

Qualcomm Is Still The Most Efficient AI Accelerator For Image Processing

Company’s recent design wins will help Qualcomm turn MLPerf benchmarks into sales. AI energy efficiency matters! Ever since Qualcomm announced its first-generation cloud edge AI processor, the Qualcomm Cloud AI 100, the company has been at the top of the leader board...

EDA Vendors Help Intel Get The USA Back Into Chip Manufacturing

The US Semiconductor industry desperately needs to rebuild the country’s ability to produce the advanced chips that are the cornerstone of AI and every electronic device you can imagine. Most of those chips are built today in Taiwan by TSMC. Merely the thought of any...

NVIDIA L40S: A Datacenter GPU For Omniverse And Graphics That Can Also Accelerate AI Training & Inference

I’m getting a lot of inquiries from investors about the potential for this new GPU and for good reasons; it is fast! NVIDIA announced a new passively-cooled GPU at SIGGRAPH, the PCIe-based L40S, and most of us analysts just considered this to be an upgrade to the...

Synopsys Certifies AI-Lead Design And IP Solutions For Samsung’s 2nm

2nm is the Next Big Thing in chip production, and Synopsys design tools and IP are now ready for production work and tape-outs on Samsung’s latest fab. Samsung has its eyes on the prize, hoping to secure more design wins as it competes with TSMC for the semiconductor...

Eliyan Technology May Rewrite How Chiplets Come Together

Company’s interconnect eliminates the need for expensive interposers, accelerating AI processing; could double the amount of memory for AI like ChatGTP, saving millions. Artificial Intelligence is finally having its iPhone moment. The launch of ChatGPT led to waves of...