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

Nvidia is launching new cloud services to help businesses leverage AI at scale. Under the banner Nvidia AI Foundations, the company is providing tools to let clients build and run their own generative AI models that are custom trained on data specific to the intended task. The individual cloud offerings are Nvidia NeMo for language models and Nvidia Picasso for 3D visuals including video and images. Speaking at Nvidia’s annual GPU Technology Conference (GTC) last week, CEO Jensen Huang said “the impressive capabilities of generative AI have created a sense of urgency for companies to reimagine their products and business models.” Continue reading Nvidia Introduces Cloud Services to Leverage AI Capabilities

Canva, the web-based design platform, is debuting “Magic” AI-powered tools that can automate a variety of tasks, from logo design to video editing. The idea is to empower people without design training to do these things, and more. Infographics, advertising materials, illustrations and presentations are among the types of output Canva AI offers. The company is also adding brand management tools to its Visual Worksuite, including a Brand Hub that provides assets for creative application, with permission settings that can restrict off-brand use of things like color or fonts. Continue reading Canva Launches New Branding Features and Magic AI Tools

Today’s leading AI chatbots need tremendous computing resources to train, then function, but that isn’t stopping startups from trying to get into the game, some with open-source alternatives. Clearly disadvantaged compared to market leaders like OpenAI, Meta, DeepMind and Anthropic — deep-pocketed, all — a band of independent researchers has coalesced under the name Together. Their aim: to become the first open-source challenger to the likes of ChatGPT. The industry seems undecided as to whether open-source AI is a good thing. Many are worried at the thought of a universally available AI toolkit, and what troublemakers might do with it. Continue reading Researchers Developing Open-Source Challenger to ChatGPT

Google has opened a public waitlist for its Bard AI chatbot to users in the U.S. and UK. The technology, which Google intends to compete with OpenAI’s ChatGPT, will be made available to increments of users on a rolling basis, the company said, with more countries and languages to come. Bard was announced last month. Powered by a lightweight, optimized version of Google’s LaMDA large language model, the company calls it an “early experiment” that will eventually be updated with more sophisticated models. The same can be said for ChatGPT, which already has more than 100 million users. Continue reading Google Takes Its Bard Search Bot Public, a Rival to ChatGPT

Meta Platforms has unveiled a new generative artificial intelligence language system called LLaMA, which doesn’t chat, but is designed as a research tool the company hopes will help “democratizing access in this important, fast-changing field.” The LLaMA (Large Language Model Meta AI) ranges in size from 7B to 65B parameters. Touted as a “smaller, more performant model,” LLaMA enables those members of the research community that do not “have access to large amounts of infrastructure to study these models,” Meta explains. Training smaller foundation models requires less computing power and resources for testing and validation. Continue reading Meta Says Its LLaMA AI for Researchers Does More with Less

Nvidia CEO Jensen Huang has declared OpenAI’s ChatGPT as creating an “iPhone moment for artificial intelligence.” Speaking at the Haas School of Business at Berkeley, Huang suggested that ChatGPT is revolutionary for engaging the imagination of millions and opening their eyes to the possibilities the technology holds, much as Apple’s iPhone did for mobile computing, ushering in a new era. ChatGPT has taken the world by storm, and it is the diversity of use that Huang feels makes it special — with some putting it to work to create code, while others use it to write fiction or plan meals and much more. Continue reading Nvidia Chief Suggests ChatGPT Marks an AI Inflection Point

Neeva is promising a more intelligent form of AI-powered search. The company — which says it has amassed more than 2 million subscribers since it began globally launching its ad-free, subscription-based Neeva engine in 2020 — is now going global with NeevaAI, which became commercially available in the U.S. in January following a monthlong beta test. Positioned as a direct competitor to ChatGPT, NeevaAI is styling itself as a smarter, more accurate form of artificial intelligence, one that “combines the best of large language models such as ChatGPT with the authority and timeliness of search.” Continue reading NeevaAI Takes on ChatGPT in the Generative AI Search War

DeepMind researchers have trained an AI to solve computer coding challenges as well as the average person. In a paper published last week in the journal Science, the group from Google’s AI division described how AlphaCode performed when pitted against human programmers, ranking in the top 54.3 percent in simulated tests, commensurate with “approximately human-level performance.” “This performance in competitions approximately corresponds to a novice programmer with a few months to a year of training,” according to Science, which says about half the humans who compete in coding contests could outperform the AI. Continue reading Deepmind’s AlphaCode AI Can Program Like Human Coders

Disney Research Studios has created an AI tool that can make actors look older or younger more simply than the costly and time-consuming visual effects that are the current status quo. While artificial intelligence had been used to age or de-age people with relative success in still frames, the results lacked photorealism when applied to video. Disney calls its app FRAN, for Face Re-Aging Network. FRAN has been trained to identify the parts of a face that change with age and can either accentuate or erase the telltale signs. Continue reading Disney Invents High-Quality Tool to Rejuvenate or Age Actors

Nvidia, Intel and ARM have published a draft specification for a common AI interchange format aimed at faster and more efficient system development. The proposed “8-bit floating point” standard, known as FP8, will potentially accelerate both training and operating the systems by reducing memory usage and optimizing interconnect bandwidth. The lower precision number format is a key factor in driving efficiency. Transformer networks, in particular, benefit from an 8-bit floating point precision, and having a common interchange format should facilitate interoperability advances for both hardware and software platforms. Continue reading Nvidia, Intel and ARM Publish New FP8 AI Interchange Format

Google has launched an AI Test Kitchen and is inviting users to sign up to test experimental AI-powered systems and provide feedback before the applications are deployed for commercial use. First up is the Language Model for Dialogue Applications (LaMDA), which has shown promising early results. The AI Test Kitchen has begun a gradual rollout to small groups of U.S. on Android with plans to include iOS in the coming weeks. According to Google, “as we move ahead with development, we feel a great responsibility to get this right.”  Continue reading Google Debuts AI Test Kitchen, LaMDA Language Generator

OpenAI is expanding its beta outreach for DALL-E 2 by inviting an additional one million waitlisted people to join the AI imaging platform over the coming weeks. DALL-E users will receive 50 credits during their first month of use and 15 credits every subsequent month, with each credit redeemable for an original DALL-E-prompted generation (returning four images) or an edit or variation prompt (which returns three images). Additional credits may be purchased in 115-generation increments for $15. Starting this month, users get rights to commercialize their DALL-E images. However, the move highlights the legal implications of AI and possible copyright infringement. Continue reading Legal Questions Loom as OpenAI Widens Access to DALL-E

Alphabet-backed research lab DeepMind last week released a new AI system called Gato that takes a step toward artificial general intelligence, or AGI, technology that enables machines to undertake and learn the same tasks as humans. Described by DeepMind as a “general purpose AI, Gato’s debut coincides with LinkedIn co-founder Reid Hoffman and DeepMind co-founder Mustafa Suleyman securing $225 million to fund Inflection AI, an artificial intelligence company the pair launched earlier this year to simplify communication between humans and computers. Neither investors nor valuation were disclosed. Continue reading DeepMind’s Gato Moves Toward Artificial General Intelligence

Transforming 2D objects into 3D ones is a challenge that has defeated numerous artificial intelligence labs, including those at Facebook, Nvidia and startup Threedy.ai. Now, a Microsoft Research team stated it has created the first “scalable” training technique to derive 3D models from 2D data. Their technology can, furthermore, learn to generate better shapes when trained exclusively with 2D images. The Microsoft team took advantage of software that produces images from display data, as featured in industrial renderers. Continue reading Microsoft Develops Scalable 2D-to-3D Conversion Technique