Meta Platforms has shared additional details on its next generation of AI infrastructure. The company has designed two custom silicon chips, including one for training and running AI models and eventually powering metaverse functions like virtual reality and augmented reality. Another chip is tailored to optimize video processing. Meta publicly discussed its internal chip development last week ahead of a Thursday virtual event on AI infrastructure. The company also showcased an AI-optimized data center design and talked about phase two of deployment of its 16,000 GPU supercomputer for AI research. Continue reading Meta In-House Chip Designs Include Processing for AI, Video

Clement Delangue, co-founder and CEO of New York-based Hugging Face, turned a casual invitation to meet with open-source AI stakeholders during a trip to San Francisco into what is being called the “Woodstock of AI.” In a matter of days, the event ballooned to more than 5,000 people hosted at the Exploratorium on March 31. “We just crossed 1,500 registrations for the Open-Source AI Meetup!” Delangue messaged the RSVP list days before the event. “What started with a tweet might lead to the biggest AI meetup in history.” The 8-year-old company is also making headlines for its new HuggingGPT system. Continue reading Hugging Face Rallies Open-Source AI Community at Meetup

Intel announced the consumer GPU brand Arc last year, which the company now says will begin delivering in Q4. The Arc A770 Limited Edition desktop gaming card will be available October 12, starting at $329, “the sweet spot of desktop graphics,” according to CEO Pat Gelsinger, who said the GPU “delivers 65 percent better peak performance versus competition on ray tracing.” Intel says other new GPU models, including the Arc Pro A30M for mobile unveiled last month at SIGGRAPH, will also come to market by the end of the year. The new GPUs feature built-in ray tracing hardware, machine learning capabilities and industry-first AV1 hardware encoding acceleration. Continue reading New GPUs Showcased at Intel’s Innovation Developer Event

Nvidia founder and CEO Jensen Huang shared his vision for a computer graphics industry transformed by AI, the metaverse and digital humans. “The combination of AI and computer graphics will power the metaverse, the next evolution of the Internet,” Huang told attendees at SIGGRAPH 2022 in Vancouver. To support this transformation, Nvidia unveiled the Avatar Cloud Engine (ACE) and discussed plans to build out the Universal Scene Description (USD) industry standard, which Huang called “the language of the metaverse.” New extensions for Omniverse and graphics workflow optimizations using machine learning were also part of the mix.
Continue reading Nvidia Unveils New Tools for AI, the Metaverse at SIGGRAPH

At Facebook’s annual F8 developer conference, chief executive Mark Zuckerberg stated that the company would “refocus” on the developer community by spotlighting technologies that “enable developers and businesses to build and grow” on its platforms. The company announced, for example, that the Messenger API for Instagram is now available to all developers. It’s also adding third-party tools to its Facebook Business Suite, which was launched last year. Going forward, PyTorch will be Facebook’s default AI platform.

Continue reading Facebook F8 Event Highlights Tools for Developer Community

The National Security Commission on Artificial Intelligence identified China as the first to challenge U.S. technological dominance since the end of World War II. To counter this potential threat to the United States, the 15-member commission issued a 756-page report urging a $40 billion investment in artificial intelligence research and development to be “AI ready” by 2025. The report also called for the U.S. to stay two generations ahead of China in semiconductor manufacturing. To that end, it suggested a significant tax credit for chip makers. Continue reading National Security Commission on AI Pinpoints Chinese Threat

With an emphasis on privacy, Facebook made a series of compelling announcements at its annual F8 developer conference this week. Chief executive Mark Zuckerberg detailed six core principles that will be embedded across the company’s services: private interactions, improved data encryption, interoperability, general safety, reducing permanence and secure data storage. The principles arrive following a difficult period for the social giant, as it continues to face criticism regarding privacy-related scandals while contending with increased scrutiny from global regulators. Continue reading Facebook Pushes Core Principles at Developer Conference

Amazon introduced AWS Deep Learning Containers, a collection of Docker images preinstalled with preferred deep learning frameworks, with the aim of making it more seamless to get AI-enabled apps on Amazon Web Services. At AWS, general manager of deep learning Dr. Matt Wood noted that the company has “done all the hard work of building, compiling, and generating, configuring, optimizing all of these frameworks,” taking that burden off of app developers. The container images are all “preconfigured and validated by Amazon.” Continue reading AWS Tool Aims to Simplify the Creation of AI-Powered Apps

Facebook AI Research, the Lorraine Research Laboratory in Computer Science and its Applications (LORIA), and University College London recently conducted a study to determine if AI can navigate a fantasy text-based game, dubbed “LIGHT.” To examine the AI agents’ comprehension of the virtual world, the study investigated the so-called grounding dialogue, comprised of mutual knowledge, beliefs and assumptions allowing communication between two people. The large-scale, crowdsourced “LIGHT” environment allows AI and humans to interact. Continue reading Study’s Fantasy Text-Based Game Tests AI Agents’ Abilities

Intel revealed that it has made progress in an anonymized, encrypted method of model training. Industries such as healthcare that need a way to use AI tools on sensitive, personally identifiable information have been waiting for just such a capability. At the NeurIPS 2018 conference in Montreal, Intel showed off its open-sourced HE-Transformer that works as a backend to its nGraph neural network compiler, allowing AI models to work on encrypted data. HE-Transformer is also based on a Microsoft Research encryption library. Continue reading Intel Describes Tool to Train AI Models with Encrypted Data

Facebook’s Rosetta is a machine learning system that extracts text in many languages from over one billion images in a real time. Facebook built its own optical character recognition system that can process such huge amount of content, day in and day out. In a recent blog post, Facebook explained how Rosetta works, using a convolutional neural network to recognize and transcribe text, even non-Latin alphabets and non-English words. The system was trained with a mix of human- and machine-annotated public images. Continue reading Facebook Adds 24 Languages to Rosetta Translation Feature

Nvidia debuted a deep learning method that can edit or reconstruct an image that is missing pixels or has holes via a process called “image inpainting.” The model can handle holes of “any shape, size, location or distance from image borders,” and could be integrated in photo editing software to remove undesirable imagery and replace it with a realistic digital image – instantly and with great accuracy. Previous AI-based approaches focused on rectangular regions in the image’s center and required post processing. Continue reading Nvidia’s New AI Method Can Reconstruct an Image in Seconds