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

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

At Amazon Lab126, researchers proposed three related AI algorithms to create Outfit-VITON, an image-based virtual try-on system for apparel. The algorithms could form the basis of an assistant to help a customer shop for clothes by describing a product’s variations, recommending items that go with the one selected, and synthesizing the image of a model wearing clothes to show how all the items work as an outfit. The algorithms will be presented at the annual IEEE Conference on Computer Vision and Pattern Recognition (CVPR will be held virtually this year, June 14-19). Continue reading Amazon Developing AI System for Trying on Clothes Virtually

Both IBM and Google recently advanced development of Text-to-Speech (TTS) systems to create high-quality digital speech. OpenAI found that, since 2012, the compute power needed to train TTS models has exploded to more than 300,000 times. IBM created a much less compute-intensive model for speech synthesis, stating that it is able to do so in real-time and adapt to new speaking styles with little data. Google and Imperial College London created a generative adversarial network (GAN) to create high-quality synthetic speech. Continue reading Google and IBM Create Advanced Text-to-Speech Systems

At the HPA Tech Retreat in Palm Desert this week, Sony chief technology officer Don Eklund described how Sony has been using artificial intelligence as a toolset to create applications specific to its needs. “I was aware of AI but didn’t pay attention,” he said. “It’s now become pervasive.” He brought together three companies — Adobe, Rival Theory and Video Gorillas — that are researching and developing AI-enabled solutions over many years. Some of these tools are commercially available or will be soon. Continue reading Firms Highlight Real World AI Solutions at HPA Tech Retreat

Cambridge Consultants has trained artificial intelligence to reconstruct images from a highly distorted image or video feed in real time that is the AI’s best guess of what the source image originally looked like. The unique approach of their DeepRay product involves recognizing and correcting for a wide universe of distortion patterns. Cambridge Consultants’ first clients are self-driving car companies concerned with accurate object and risk detection, but DeepRay could also have a number of entertainment industry technical and story applications. Continue reading DeepRay Uses AI to Reconstruct Distorted Video in Real Time