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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What Is Physical AI, And Why It Could Change The World

Nvidia CEO Jensen Huang believes Physical AI will be the next big thing. Emerging robots will take many forms, all powered by AI. Recently Nvidia has been extolling a future where robots will be everywhere. Intelligence machines will be in the kitchen, the factory,...

Synopsys Launches First 1.6T Ethernet To Accelerate AI Data Centers

Normally, an AI Industry Analyst like myself would not take notice of a new version of Ethernet; its IP is fairly staid technology these days. But now the demands of high performance AI has changed the game, again. CPU, Accelerators, and Switch vendors depend on...

Xilinx Readies Versal AI Edge For 2022 Availability

Platform includes updated AI Engine with 4- and 8-bit integer math, along with new memory architecture. Xilinx has just launched the first edge model of the flexible Versal ACAP (Adaptive Compute Acceleration Platform) family, the third Versal to be announced in...

The 2024 AI HW Summit: Here’s What Caught My Attention

The Summit drew over 1000 attendees this year, with scores of presentations and hundreds of AI leaders from large companies as well as many startups. Every September since 2019, the AI HW Summit in the Bay Area has been the focal point for new technologies around AI....

If The Arm Deal Fails, NVIDIA Is Fine, But Arm May Struggle

European regulators are again expressing concerns about the impact on competition. But the alternatives for Arm could be worse. NVIDIA does not need to acquire Arm to keep growing like a weed. The acquisition would add to NVIDIA’s revenue and growth, to be sure, but...

Qualcomm Readies CPUs For The Data Center Using Nvidia NVLink Fusion

NVLink has become a second, and perhaps deeper, moat for Nvidia, following its CUDA software tools and libraries. There's a reason the AI community prefers NVLink for connecting multiple GPUs: it is mind-blowingly fast, more than three times the performance of the...

Nvidia Sweeps Benchmarks. AMD Is MIA, Again

It should not surprise anyone: Nvidia is still the fastest AI and HPC accelerator across all MLPerf benchmarks. And while Google submitted results, AMD was a no-show. This blog has been corrected on 11/14 with a fresh TPU Trillium vs. Blackwell comparison. Say what...

Synopsys Moves To RISC-V To Help SoC Developers

When the number two provider of CPU designs jumps on the RISC-V train, it is a significant milestone. The open-source RISC-V design is on a roll, displacing Arm in many SoC development plans. ARC and Arm are both companies that design and license microprocessor (CPU)...

Nvidia Contributes Blackwell And Ethernet Tech To Meta’s Open Compute

Many think of Nvidia as a closed ecosystem. But as AI transitions from fast chips to address a full-system challenge, Nvidia is helping drive an open industry. Yes, CUDA is closed. Nvidia says it has to be closed in order to develolp an optimized software abstraction...

Qualcomm Researches AI Techniques That Could Enhance The Wireless Experience

AI Research at Qualcomm Technologies is advancing wireless communications and RF location sensing. Wireless communications and RF sensing technologies continue to advance with 5G rolling out now and 5G Advanced in the wings. In order to sustain a high...