The Latest News in AI

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

What If IBM Z Could Help Stop Fraud?

Last year, IBM launched the z16 with an integrated AI accelerator on each CPU chip. Now, with the infusion of AI into IBM z/OS and a robust AI open-source toolkit, IBM Z customers can realize low-latency AI on a highly trustworthy and secure enterprise system: the...

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Intel Innovation: AI Everywhere

That phrase has dual meanings: AI will run everywhere, and AI was everywhere at the event. Pat Gelsinger’s keynote made it clear where Intel plans to innovate: AI. No surprise to anyone with a pulse, to be sure, but his enthusiasm was infectious. Every Intel employee...

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Hot Chips Concludes An Amazing Lineup of AI Chip Companies.

Every year, I promise not to attend this tech-heavy confab of fast chips. And every year, I break that promise. Just too much to ignore! I can deal with it: some technology is just beyond my pay grade. My masters in CS is decades old, and the deep technology...

NVIDIA Provides More Details On Selene Supercomputer

Last May, when NVIDIA unveiled the Ampere GPU architecture, the company announced a new supercomputer named Selene that ranks #7 in the world in total performance. Selene is now the fastest industrial system in the USA and is the second-most energy-efficient system...

Yes, AMD Believes AI On The PC Is Important. And They Already Have It.

Recently, TechSpot erroneously reported otherwise, and I expressed my surprise and dismay here on Forbes. Now, lets set the record straight: AMD has been shipping the industry’s first AI-enabled x86 CPU chip for PCs since May. The company has been shipping a high-end...

Meta Builds World’s Largest AI Supercomputer With NVIDIA For AI Research And Production

There are big implications, for both companies, beyond just bragging rights. Facebook, I mean Meta, has always been one of the industry leaders when it comes to AI research and deployment. The company processes hundreds of trillions (yes, trillions with a “T”) 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 Narrows The gap With Nvidia In New MLPerf Benchmarks

New benchmark results from AMD, Untether AI, Google, Intel, and Nvidia demonstrate the converging AI silicon performance competition. However, system design, networking, and software make AI sing and dance. And that’s where Nvidia excels. Finally, I can stop whining...

SiMa.ai Creates Drag-And-Drop Platform For Building AI Workflows

Assuming it is the software that enables or prevents the adoption of a new AI chip, a reasonable assumption, SiMa has created a new tool called Palette Edgematic to simplify AI solution creation greatly. And build demand for their silicon. As everyone says, “It’s the...

As we said, Google is the Exception to the Rule!

The latest TPU and the upcoming Ironwood supercomputer were just the start Google is taking the next step in its quest to become a serious challenger to Nvidia GPUs. As I recently noted in my post on CSP silicon costs and failures, Google is the exception. Google...

NVIDIA GTC: “DPU” Smart NIC And More

NVIDIA Co-founder and CEO Jensen Huang rarely disappoints his audience nor his investors. This week he once again delivered the goods at the GPU Technology Conference. Announcing a broad range of hardware and software innovations, Jensen made it clear that he intends...

NVIDIA Runs The Mlperf Table

When the mlperf (machine learning performance) organization released the first standardized AI training benchmarks, which NVIDIA dominated last December, we were somewhat disappointed that only a few companies, namely NVIDIA, Google and Intel, were able to muster the...