London-based AI video startup Haiper has emerged from stealth mode with $13.8 million in seed funding and a platform that generates up to two seconds of HD video from text prompts or images. Founded by alumni from Google DeepMind, TikTok and various academic research labs, Haiper is built around a bespoke foundation model that aims to serve the needs of the creative community while the company pursues a path to artificial general intelligence (AGI). Haiper is offering a free trial of what is currently a web-based user interface similar to offerings from Runway and Pika. Continue reading AI Video Startup Haiper Announces Funding and Plans for AGI

ZTE has launched what it calls the world’s first AI-powered, eyewear-free 5G 3D tablet, the Nubia Pad 3D II. The 12.1-inch LCD display supports 2,560 x 1,600 resolution and 144Hz refresh rate. Powered by a Qualcomm Snapdragon 8 Gen 2 chipset, the Nubia Pad 3D II is equipped with an AI eye-tracking engine that utilizes “high-speed visual sensors and eye-detection algorithms” to enhance response speed and enable accurate synchronization with the users’ eyes in real-time “for a more natural and realistic 3D display experience,” ZTE says. The device also converts 2D to 3D with Neovision 3D Anytime technology. Continue reading ZTE Unveils Glasses-Free Android Tablet, the Nubia Pad 3D II

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

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