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

Gamers have discovered a way to use machine learning to improve the graphics of older games. Called “AI upscaling,” the technique uses an algorithm to take a low-resolution image and, based on training data, generates a version with more pixels. Although upping the resolution of images is not new, machine learning has improved both the speed and the quality of the end result. On the r/GameUpscale subreddit, which is moderated by Norwegian teacher and student Daniel Trolie, users share “tips and tricks” on the practice. Continue reading Machine Learning Is Being Used to Upscale Classic Games

Amazon is developing systems based on artificial intelligence algorithms that are aimed at spotting fashion trends and, eventually, shaping them. The effort could boost Amazon’s sales in clothing, perhaps even gaining a dominant position in fashion. The e-commerce giant isn’t alone in making recommendations based on products appearing in social media, and highlighting the resulting trends; Instagram and Pinterest also pinpoint trends and react quickly to them, as does startup subscription service Stitch Fix. Continue reading Amazon Creates AI-Based Tools for Spotting Fashion Trends