The Latest News in AI

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

Qualcomm’s Vision: The Future Of … AI

Mobile Chip Leader’s AI Starts In Mobile, And Grows To The Clouds Company acquires assets from Twenty Billion Neurons GmbH to bolster its AI Team. Qualcomm Technologies (QTI) is running a series of webinars titled “The Future of...”, and the most recent edition is on...

read more

Pearls Of Wisdom From Jensen Huang

A bunch of industry analyst got to spend 90 minutes with the CEO and co-founder of NVIDIA today to discuss his GTC announcements, and the future of the computing landscape. This was not an unusual occurrence. Jensen always makes himself available, and no analyst...

BrainChip Sees Gold In Sequential Data Analysis At The Edge

Unlike in image processing or large language models, few AI startups are focused on sequential data processing, which includes video processing and time-series analysis. BrainChip is just fine with that. With all the buzz around LLM generative AI, it is understandable...

The IBM Research AI Hardware Center: Solid Progress, Aggressive Goals

IBM AI acceleration technologies are becoming so good, most AI chip companies would be better off licensing core AI tech from IBM. Creating and using massive AI networks is quickly becoming unaffordable: Open.AI’s GPT-3 cost over $12M to train using thousands of GPU’s...

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,...

AMD Launches New GPU And EPYC CPU Right Across NVIDIA’s Bow

The Instinct MI200 is nearly five times faster than the NVIDIA A100 for HPC, but is theoretically only 20% faster for AI. One year ago I complained that the newly announced AMD MI100 GPU was great for HPC, but inadequate for most AI workloads. Now AMD has announced...

NVIDIA And Intel Publish First GPT3 Benchmarks; AMD, AWS, And Google Are MIA

Let’s look into the results and explore why so many competitors chose not to play ball. Those who follow me know the drill: MLCommons publishes benchmarking results every 3 months, alternating between inferencing and training. Then I explain the results and whine...

Why Can’t NVIDIA Be Bested In MLPerf?

MLPerf, an industry consortium of over 70 companies and institutions, has released the second round of AI Inference processing results. These benchmarks now represent production applications from all major areas of AI deployment today. But only a few technologies...

Story Correction: TechSpot Now Says AMD Believes That “AI Will Be Important To All Our Products Going Forward”

TechSpot has issued a retraction, says the reporter ‘misrepresented’ AMD spokesperson… this article has been subsequently updated…. TechSpot issued a correction on their interview with Justin Galton of AMD, noting “…unfortunately the source for that story...

Two Can’t-Miss Events For AI Hardware

There are two conferences coming up that AI developers, executives, and investors should consider attending to get the latest from the industry’s leaders and challengers. I will attend both and I hope to see many of my readers there! Let’s take a closer look at what’s...

Nvidia Takes Major Step To Leverage Its Rack-Scale Ecosystem

While few dispute the incredible performance of Nvidia AI platforms, many complain that it is a closed system. You can’t replace the Arm CPUs with, say, a CPU from a RISC-V , or take advantage of a new AI ASIC like the Meta MTIA accelerator, without redesigning and...