Meta will release a new Quest educational product later this year. As with 2023’s workplace-specific Meta Quest for Business, the as yet unnamed learning tool will allow teachers, trainers and administrators to access education-specific apps and features, and make it possible for them to manage multiple Quest devices at once. The classroom convenience of not having to individually update and prepare each headset for the same lesson was one of Meta’s key findings in researching what teachers wanted from virtual reality, Meta says, positioning education and training as a growing tech product sector, with lots of app activity. Continue reading Meta Education Initiative Aims to Put Quest VR in Classrooms

Meta’s next generation AI silicon is a 5nm chip designed to power the models that provide recommendations to those who use its social network platforms. The new MTIA inference accelerator is part of a “broader full-stack development program for custom, domain-specific silicon that addresses our unique workloads and systems,” Meta says. The next-gen MTIA more than doubles the compute and memory bandwidth of its predecessor, the 7nm MTIA v1 chip introduced in May 2023, resulting in 3x the performance, according to Meta, which says the new silicon is already live in 16 data centers. Continue reading Meta Deploys Gen 2 MTIA AI Accelerator Chip in Data Centers

There are now more than 600,000 users signed up for OpenAI’s ChatGPT Enterprise, up from 150,000 in January of this year. A surge, by any standards, it has sent OpenAI doubling down on the B2B approach as a way to turn artificial intelligence into a profitable business — something it is under some pressure to do in order to satisfy its obligations to investors. The company is also amping up its Custom Model training program, aimed at helping enterprise clients develop individually tailored generative AI technology for specific use cases and applications. Continue reading OpenAI Hopes ChatGPT Enterprise Will Help Drive B2B Profit

Artificial Intelligence is not angling to steal jobs, according to Big Tech, which is galvanizing its forces to push back against that perception by forming a new consortium that addresses the effect of AI on the workforce. Called the AI-Enabled ICT Workforce Consortium, it will “assess AI’s impact on technology jobs and identify skills development pathways for the roles most likely to be affected by artificial intelligence,” according to Cisco, which leads the initiative. Accenture, Eightfold, Google, IBM, Indeed, Intel, Microsoft and SAP are also participating. Continue reading Big Tech Launches Consortium to Address AI Impact on Jobs

Google.org, the charitable arm of the Alphabet giant, has launched a program to help fund non-profits working on technology to support “high-impact applications of generative AI.” The Google.org Accelerator: Generative AI is a six-month program that kicks off with more than $20 million in grants for 21 non-profit firms. Among them, student writing aid group Quill.org, job seeker for low- to middle-income countries Tabiya, and Benefits Data Trust, which helps low-income applicants access and enroll in public benefits. In addition to funds, the new unit provides mentorship, technical training and pro bono support from “a dedicated AI coach.” Continue reading Google GenAI Accelerator Launches with $20 Million in Grants

Apple researchers have gone public with new multimodal methods for training large language models using both text and images. The results are said to enable AI systems that are more powerful and flexible, which could have significant ramifications for future Apple products. These new models, which Apple calls MM1, support up to 30 billion parameters. The researchers identify multimodal large language models (MLLMs) as “the next frontier in foundation models,” which exceed the performance of LLMs and “excel at tasks like image captioning, visual question answering and natural language inference.” Continue reading Apple Unveils Progress in Multimodal Large Language Models

Reddit is moving ahead with its IPO and plans to raise between $682 million and $748 million on a fully diluted valuation of between $5.8 billion and $6.4 billion. Although no date has been announced, the IPO is expected to take place sometime this month. According to a Securities and Exchange Commission filing Monday, Reddit says it will offer 22 million 15.3 million Class A common shares and 6.7 million insider shares from investors including CEO Steve Huffman and COO Jen Wong. Pricing will be between $31 and $34 per share. The proposed market cap is $4.9 billion to $5.4 billion. Continue reading Reddit Hopes to Raise $748M in IPO Aimed at $6.4B Valuation

Community message board and social news aggregator Reddit, founded in 2005, has filed to go public on the New York Stock Exchange in an IPO observers say may be complete in a matter of weeks. It is the first social media company to go public in many years, with Snap Inc.’s 2017 offering cited as the most recent stock market splash. Reddit’s bankers are reportedly seeking a $5 billion valuation, about half the $10 billion it was valued at for a 2021 private funding round. Reddit filed with the SEC the same day it announced an “expanded partnership” with Google to use Vertex AI. Continue reading Reddit Announces IPO on Heels of Expanded Deal with Google

Researchers at Amazon have trained what they are calling the largest text-to-speech model ever created, which they claim is exhibiting “emergent” qualities — the ability to inherently improve itself at speaking complex sentences naturally. Called BASE TTS, for Big Adaptive Streamable TTS with Emergent abilities, the new model could pave the way for more human-like interactions with AI, reports suggest. Trained on 100,000 hours of public domain speech data, BASE TTS offers “state-of-the-art naturalness” in English as well as some German, Dutch and Spanish. Text-to-speech models are used in developing voice assistants for smart devices and apps and accessibility. Continue reading Amazon Claims ’Emergent Abilities’ for Text-to-Speech Model

Stability AI, purveyor of the popular Stable Diffusion image generator, has introduced a completely new model called Stable Cascade. Now in preview, Stable Cascade uses a different architecture than Stable Diffusion’s SDXL that the UK company’s researchers say is more efficient. Cascade builds on a compression architecture called Würstchen (German for “sausage”) that Stability began sharing in research papers early last year. Würstchen is a three-stage process that includes two-step encoding. It uses fewer parameters, meaning less data to train on, greater speed and reduced costs. Continue reading Stability AI Advances Image Generation with Stable Cascade

Slack AI is a new paid add-on for enterprise clients that want to boost productivity using artificial intelligence. Generative capabilities in the initial release include personalized responses to questions, channel recaps and thread summaries that promise to “catch you up on long conversations in one click.” Slack says pilot data indicated customers including Uber and Anthropic “could save an average of 97 minutes per user each week using Slack AI to find answers, distill knowledge and spark ideas.” Slack AI is backward compatible, generating information based on the history built over time on the platform. Continue reading Slack AI Brings Generative Features to Channels and Threads

Apple recently announced advances in artificial intelligence research that could introduce more immersive visual experiences and enable sophisticated AI systems to run on the company’s popular mobile devices. Two new research papers highlight techniques for creating 3D avatars from video content and efficiently deploying large language models on devices challenged by limited memory. The real-time ability to create avatars and 3D scenes from an iPhone camera could bring a range of new possibilities for CE devices in areas such as synthetic media, telepresence, social interaction, virtual try-on and more. Continue reading Apple Unveils New Advances in Artificial Intelligence Research

Google personalized AI assistant NotebookLM is an experimental product that has been in early access since July. Now the company is integrating its new Gemini Pro LLM with NotebookLM and making it available to U.S. residents 18 and older. NotebookLM is engineered “to help you do your best thinking,” Google says, with documents uploaded to the service making it “an instant expert in the information you need,” allowing it to answer questions about your data. Unlike generic chatbots, NotebookLM draws responses from the documents you feed it, meaning it will be hyper-focused — a lite version of a custom trained model. Continue reading Google’s NotebookLM is a Personalized Lite Language Model

California Governor Gavin Newsom has released a report examining the beneficial uses and potential harms of artificial intelligence in state government. Potential plusses include improving access to government services by identifying groups that are hindered due to language barriers or other reasons, while dangers highlight the need to prepare citizens with next generation skills so they don’t get left behind in the GenAI economy. “This is an important first step in our efforts to fully understand the scope of GenAI and the state’s role in deploying it,” Newsom said, calling California’s strategy “a nuanced, measured approach.” Continue reading Newsom Report Examines Use of AI by California Government

Nvidia Research has debuted Eureka, an AI agent that autonomously teaches robots complex motor skills. Powered by OpenAI’s GPT-4, Eureka has successfully trained a robotic hand to handle a pen with the dexterity of a human — a first, according to Nvidia. Eureka has also enabled robots to do things like open drawers, manipulate scissors and toss and catch balls, along with dozens of other tasks. “Eureka is a first step toward developing new algorithms that integrate generative and reinforcement learning methods to solve hard tasks,” according to Nvidia Senior Director of AI Research Anima Anandkumar said. Continue reading Nvidia Leverages OpenAI’s GPT-4 to Train Dexterous Robots