Toggle light / dark theme

Exclusive: Nvidia to make Arm-based PC chips in major new challenge to Intel

Oct 23 (Reuters) — Nvidia (NVDA.O) dominates the market for artificial intelligence computing chips. Now it is coming after Intel’s longtime stronghold of personal computers.

Nvidia has quietly begun designing central processing units (CPUs) that would run Microsoft’s (MSFT.O) Windows operating system and use technology from Arm Holdings (O9Ty. F)„ two people familiar with the matter told Reuters.

The AI chip giant’s new pursuit is part of Microsoft’s effort to help chip companies build Arm-based processors for Windows PCs. Microsoft’s plans take aim at Apple, which has nearly doubled its market share in the three years since releasing its own Arm-based chips in-house for its Mac computers, according to preliminary third-quarter data from research firm IDC.

Automattic is acquiring Texts and betting big on the future of messaging

‘Open source communication is a fundamental human right,’ Automattic CEO Matt Mullenweg says, and he’s buying a platform to help pull it off.

Automattic, the company that runs WordPress.com, Tumblr, Pocket Casts, and a number of other popular web properties, just made a different kind of acquisition: it’s buying Texts, a universal messaging app, for $50 million.

Texts is an app for all your messaging apps. You can use it to log in to WhatsApp, Instagram, LinkedIn, Signal, iMessage, and more and see and respond to all your messages in one place. (Beeper is another app doing similar things.) The app also offers some additional features like AI-generated responses and summaries, but its primary… More.


A less chaotic chat app is coming to a device near you.

This new data poisoning tool lets artists fight back against generative AI

The tool, called Nightshade, messes up training data in ways that could cause serious damage to image-generating AI models.

A new tool lets artists add invisible changes to the pixels in their art before they upload it online so that if it’s scraped into an AI training set, it can cause the resulting model to break in chaotic and unpredictable ways.

The tool, called Nightshade, is intended as a way to fight back against AI companies that use artists’ work to train their models without the creator’s permission. Using it to “poison” this training data could damage future iterations of image-generating AI models, such as DALL-E, Midjourney, and Stable Diffusion, by rendering some of their outputs… More.

D-ID’s newest app uses AI to make videos from photographs

D-ID, the Tel Aviv-based startup best known as the tech behind those viral videos of animated family photos, is bringing its AI video technology to a new mobile app, launching today. Originally available as a web platform, D-ID’s Creative Reality Studio allows users to upload a still image and script and then turn that into an AI-generated video. The technology can be used to create digital representations of themselves, historical figures, fictional characters, presenters or brand ambassadors.

Early use cases the company had been targeting involved corporate training and education, internal and external communication from companies, and product marketing and sales, TechCrunch previously reported.

Now available on mobile, users will download the D-ID app from the App Store or Google Play and then create an account or log in, if already registered. On the selection screen, you can either pick a premade “digital person” that D-ID provides or upload an image from your phone’s photo library. You’ll then enter the text you want the digital person to say, choosing from 119 languages, as well as pick between male and female voice options. You can also choose the tone of the speech — like cheerful, excited, friendly, hopeful, newscast, sad, shouting, terrified, unfriendly, whispering and others.

VAST Data Extends AI Infrastructure Leadership with Lambda Partnership

Training generative AI models is challenging. It requires an infrastructure that can move and process data with performance characteristics unheard of outside of traditional supercomputing environments. Nobody better understands the demands that AI puts on infrastructure than the service providers that specialize in the space.

Lambda and VAST Data have engaged in a new strategic partnership that brings the VAST Data Platform to Lambda. This follows similar announcements from CoreWeave and G42 Cloud, both of which unveiled similar relationships with VAST over the past few months. This makes VAST Data the top choice for dedicated AI service providers.


Lambda Labs and VAST Data have engaged in a new strategic partnership that brings the VAST Data Platform to Lambda Labs.

Could ScaleAI secure US supremacy over China in the AI arms race?

The company which describes itself as the data infrastructure company for AI, bagged a $249 million contract in 2022 to provide a range of AI tech to the US Department of Defence.

Traditionally, the United States has been viewed as the top dog in global military applications, but over the last three decades, it’s been facing competition from a strong opponent in the Indo-Pacific area. China has been bullishly making its space by modernizing its weapons and forces and denting the US’ dominance in developing advanced technologies.


Nastco/iStock.

Can the US come out on top in the AI arms race?

Researchers create magnetic microrobots that work together to assemble objects in 3D environments

For the first time ever, researchers at the Surgical Robotics Laboratory of the University of Twente successfully made two microrobots work together to pick up, move and assemble passive objects in 3D environments. This achievement opens new horizons for promising biomedical applications.

Imagine you need surgery somewhere inside your body. However, the part that needs surgery is very difficult for a surgeon to reach. In the future, a couple of robots smaller than a grain of salt might go into your body and perform the surgery. These microrobots could work together to perform all kinds of complex tasks. “It’s almost like magic,” says Franco Piñan Basualdo, corresponding author of the publication.

Researchers from the University of Twente successfully exploited two of these 1-millimeter-sized magnetic microrobots to perform several operations. Like clockwork, the microrobots were able to pick up, move and assemble cubes. Unique to this achievement is the 3D environment in which the robots performed their tasks.

New AI chip is 22 times faster

Its energy efficiency is just mind-blowing,” said Damien Querlioz, a nanoelectronics researcher at the University of Paris-Saclay in Palaiseau. “I feel the paper will shake the common thinking in computer architecture.


NorthPole, a new edge-based processor announced this month by IBM Research, is up to 22 times faster and much more energy efficient than chips currently on the market.

A team from IBM research has presented NorthPole – a brain-inspired chip architecture, which blends computation with memory to process data more efficiently at low energy costs.

Artificial intelligence predicts the future of artificial intelligence research

It has become nearly impossible for human researchers to keep track of the overwhelming abundance of scientific publications in the field of artificial intelligence and to stay up-to-date with advances.

Scientists in an international team led by Mario Krenn from the Max-Planck Institute for the Science of Light have now developed an AI algorithm that not only assists researchers in orienting themselves systematically but also predictively guides them in the direction in which their own research field is likely to evolve. The work was published in Nature Machine Intelligence.

In the field of artificial intelligence (AI) and (ML), the number of is growing exponentially and approximately doubling every 23 months. For human researchers, it is nearly impossible to keep up with progress and maintain a comprehensive overview.

/* */