AMD is introducing a new encoder chip designed for energy efficient and economical AV1 video streaming. The AV1 codec is increasingly popular as streamers seek to meet massive bandwidth needs. AMD’s new card, the Alveo MA35D, delivers what promises to be a massive leap in throughput and compression over its predecessor. Compression performance is critical in today’s streaming market, where the model has changed from a one-to-many central server model to a cloud-based distributed many-to-many format as entertainment is vying for bandwidth with video conferences, massively multiplayer online games and social media streaming. Read more

Meta Platforms has published a new AI technology, the Segment Anything Model (SAM) that the company claims can identify objects it hasn’t seen before. Acting on a text prompt, SAM will highlight items in a photo or video, picking out all the cats, for instance, or flowers. It can also execute other functions, such as generating a 3D construct using a single 2D image or extrapolating from things viewed in a mixed reality headset. Segment Anything can work in concert with other models, potentially minimizing the need for voluminous data sets for training. Read more

Japan decided last week to join the U.S. and Netherlands in limiting exports of chipmaking gear to China. As early as July, suppliers of 23 types of chip technology will need a government sign-off to export to countries including China, which has been struggling to build a domestic chip industry. Japanese companies impacted by the restrictions include Tokyo Electron, Lasertec, Nikon Corp. and Screen Holdings, according to the Japanese trade ministry. The central goal of the clampdown is to make it harder for Chinese firms to produce advanced chips for artificial intelligence. Read more

After many years of academia leading the way in the development of artificial intelligence, the tides have shifted and industry has taken over, according to the 2023 AI Index, a report created by Stanford University with help from companies including Google, Anthropic and Hugging Face. “In 2022, there were 32 significant industry-produced machine learning models compared to just three produced by academia,” the report says. The shift in influence is attributed mainly to the large resource demands — in staff, computing power and training data — required to create state of the art AI systems. Read more

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. Read more