Elon Musk is sharing additional details about his latest endeavor, an artificial intelligence company called xAI. The CEO of Tesla and SpaceX — and owner, executive chairman and CTO of Twitter — says his new company aspires to “understand the true nature of the universe.” While word began leaking out in February about Musk’s AI plans, he went public with his team on Wednesday (featuring executives from several notable tech firms), communicating via a newly minted website that also includes a recruitment message. Musk plans to release more information today live on Twitter Spaces. Continue reading Musk Staffs xAI with Execs from Top Technology Companies

Character.AI is a new chatbot that generates facsimiles of conversations with famous personages or original creations. Napoleon Bonaparte, Billie Eilish and Ariana Grande are among the  historical or contemporary characters the site recreates using a neural network. Anyone can use the free app to create a character, whether fictional or real, dead or alive, but a paid offering called c.ai+ provides perks including faster response times, priority access and early previews of new features. In addition to a website, the app launched on iOS and Android this month, triggering 700,000 Android installs within 48 hours. Continue reading Character.AI Lets Users Chat with Wide Variety of Characters

ChatGPT came too late (end of November) to make a significant impact on CES this year, but the cacophony of opinions about the generative AI model definitely made its way to Vegas. The timing was perfect. Just as the crypto crash left the hype industry paralyzed, OpenAI launched ChatGPT in what now feels like a nerdy and frustrating tech version of the Rolling Stones’ Altamont concert in ’69 (with computer scientists as the Hells Angels). Make no mistake: this is a landmark achievement in machine learning — perhaps the single greatest since the 2006 paper by Hinton, Salakhutdinov, Osindero and Teh on backpropagation in deep neural networks. However, it’s critical that industries, including M&E, distinguish between hype and reality. Continue reading CES: Generative AI Is Having Its ‘War of the Worlds’ Moment

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

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

Meta AI, the artificial intelligence unit of Meta Platforms has developed what it believes is a machine learning model that can simultaneously scan hundreds of thousands of Wikipedia citations to check their accuracy. While the Wikimedia Foundation, which runs Wikipedia, already uses bots, Meta’s proposal would be more extensive than anything currently deployed. Trained using a dataset of 4 million Wikipedia citations, the new Meta AI tool analyzes the linked references, verifying corroboration. With more than 17,000 new Wikipedia articles added each month, this is no small feat. Continue reading Meta Developing a Neural Network to Turbocharge Wikipedia

The competition for global computer chip dominance depends largely on who can create the smallest components with the most advanced capabilities. So far, Taiwan-based TSMC leads, and the nation accounts for more than 90 percent of global production of advanced chips. By comparison, the U.S. claims about a 12 percent share, prompting the government to cite reliance on foreign-made processors as a cause of inflation and a national security threat. California-based Intel is heeding the challenge, spending billions on initiatives for AI computing, a high-end microprocessor plant expansion in Arizona and new plant in Ohio. Continue reading Intel Vies for Lead in an Increasingly Complex Chip Business

OpenAI has created a new technology that creates and edits images based on written descriptions of the desired result. DALL-E 2, an homage to the surrealist painter Salvador Dalí and the Pixar film “Wall-E,” is still in development but is already producing impressive results with simple instructions like “kittens playing chess” and “astronaut riding a horse.” OpenAI says the tech, “isn’t being directly released to the public” and the hope is “to later make it available for use in third-party apps. “Already some are expressing worry that such a tool has potential to exponentially increase the use of deepfakes. Continue reading DALL-E 2 by OpenAI Creates Images Based on Descriptions

Artificial intelligence and machine learning are poised to revolutionize the dubbing process for media content, optimizing it for a more natural effect as part of an emerging movement called “auto-dubbing.” AI has impacted the way U.S. audiences are experiencing the Netflix breakout “Squid Game” and other foreign content, as well as helping U.S. programming play better abroad. Its impact is in its nascency. Soon, replacing rubber-lip syndrome with AI-enhanced visuals that enable language translation at the click of a button may become the industry norm.  Continue reading AI-Powered Auto-Dubbing May Soon Become Industry Norm

Deep learning requires a complicated neural network composed of computers wired together into clusters at data centers, with cross-chip communication using a lot of energy and slowing down the process. Cerebras has a different approach. Instead of making chips by printing dozens of them onto a large silicon wafer and then cutting them out and wiring them to each other, it is making the largest computer chip in the world, the size of a dinner plate. Texas Instruments tried this approach in the 1960s but ran into problems. Continue reading Cerebras Chip Tech to Advance Neural Networks, AI Models

Pinterest allows users to “pin” photos and videos onto boards, helping them to “discover ideas through images,” especially those pinned by people or companies that they follow. It uses neural networks, which make millions of calculations quickly, to surface and suggest the images that people will like. According to Pinterest senior vice president of engineering Jeremy King, this tool is responsible for “nearly 100 percent” of the company’s growth. In Q1, Pinterest’s AI-powered formula drew in almost 480 million people. Continue reading Pinterest: Neural Networks Boost Ad Sales and User Growth

Last month Nvidia launched Maxine, a software development kit containing technology the company claims will cut the bandwidth requirements of video-conferencing software by a factor of ten. A neural network creates a compressed version of a person’s face which, when sent across the network, is decompressed by a second neural network. The software can also make helpful corrections to the image, such as rotating a face to look straight forward or replacing it with a digital avatar. Nvidia is now waiting for software developers to productize the technology. Continue reading Nvidia Cuts Video-Conferencing Bandwidth by Factor of Ten

Under the Patents Act, a UK court ruled that creator Stephen Thaler’s “Creativity Machine” called DABUS could not be an inventor. Thaler appealed, and the UK’s High Court dismissed it, saying an inventor must be a person and not a machine. Thaler, however, insists that DABUS is “fundamentally different from other AI systems,” noting that, via “simple learning rules” it combines “swarms of many artificial neural nets, each containing interrelated patterns spanning some conceptual space … with no predetermined objective.” Continue reading UK High Court Dismisses Appeal to Classify AI as an Inventor

In the not-so-distant future there will likely be services that allow the user to choose plots, characters and locations that are then fed into an AI-powered transformer with the result of a fully customized movie. The idea of using generative artificial intelligence to create content goes back to 2015’s computer vision program DeepDream, thanks to Google engineer Alexander Mordvintsev. Bringing that fantasy closer to reality is the AI system GPT-3 that creates convincingly coherent and interactive writing, often fooling the experts. Continue reading AI-Powered Movies in Progress, Writing Makes Major Strides

Facebook introduced an AI text-to-speech system (TTS) that produces a second of audio in 500 milliseconds. According to Facebook, the system, which is used with a new approach to data collection, powered the creation of a British accent-inflected voice in six months, versus over a year required for other voices. The TTS is now used for Facebook’s Portal smart display brand. The system can be hosted in real time via ordinary processors and is also available as a service for other apps, including Facebook’s VR. Continue reading Facebook Reveals New AI-Powered Text-to-Speech System