Facebook Uses AI to Improve Games, Swap Singers’ Voices

Facebook is bringing back FMV (full motion video) games, which use pre-recorded video files to display action. With the work of Facebook AI Research scientists, the new FMV games are much improved, with a system that can extract controllable characters from real-world videos and then control their motion, thus generating new image sequences. Facebook AI Research scientists, in collaboration with Tel Aviv University, also unveiled a system that, unsupervised, converts audio of one singer to the voice of another. Continue reading Facebook Uses AI to Improve Games, Swap Singers’ Voices

Disney, Rutgers Scientists Use AI to Generate Storyboards

Disney Research and Rutgers University scientists just created an end-to-end model using artificial intelligence to produce a storyboard and video featuring text from movie screenplays. This kind of text-to-animation model is not new, but this research advances the state-of-the-art by producing animations without annotated data or pre-training. The researchers wrote that the system is “capable of handling complex sentences” and is intended to make creatives’ work “more efficient and less tedious.” Continue reading Disney, Rutgers Scientists Use AI to Generate Storyboards

Another Perspective on Deep Fakes: Threat and Opportunity

At the NAB 2019’s Broadcast Cybersecurity course, Emblematic Group founder/chief executive Nonny de la Peña introduced deep fakes by showing pairs of images and asking the audience to call out which was fake and which was real. From paired images of Presidents Obama and Trump, among others, audience members were consistently unable to pick the correct “fake” image. University of Washington researchers created a very convincing — but fake — video of Barack Obama, she revealed, by using neural network AI and 14 hours of Obama footage. Continue reading Another Perspective on Deep Fakes: Threat and Opportunity

AI Pioneers Are Honored with the Prestigious Turing Award

The Association for Computing Machinery (ACM) honored three artificial intelligence pioneers with the prestigious Turing Award for their work on neural networks. The Turing Award, often dubbed the Nobel Prize of computing, was launched in 1966 and includes a $1 million prize that the three honorees will share. Doctors Geoffrey Hinton, Yann LeCun and Yoshua Bengio helped lay the foundation for the evolution of technologies including facial recognition, digital assistants and self-driving vehicles. Continue reading AI Pioneers Are Honored with the Prestigious Turing Award

Nvidia Demos New Products at Deep Learning & AI Confab

Nvidia made a number of compelling announcements at this week’s GPU Technology Conference (GTC 2019) in San Jose, California. The company unveiled its GauGAN AI image creator that uses generative adversarial networks (GANs) to turn sketches into nearly photorealistic images. As part of its cloud pursuits, the company unveiled its latest RTX server configuration that is designed for Hollywood studios and those who want to create visual content quickly (each server pod can support up to 1,280 GPUs). Nvidia also announced partnerships with 3D software makers including Adobe, Autodesk and Unity to integrate Nvidia’s RTX ray-tracing platform. Continue reading Nvidia Demos New Products at Deep Learning & AI Confab

Google GPipe Library Speeds Deep Neural Network Training

Google has unveiled GPipe, an open-sourced library that makes training deep neural networks more efficient under the TensorFlow framework Lingvo for sequence modeling. According to Google AI software engineer Yanping Huang, “in GPipe … we demonstrate the use of pipeline parallelism to scale up DNN training,” noting that larger DNN models “lead to better task performance.” Huang and his colleagues published a paper on “Efficient Training of Giant Neural Networks Using Pipeline Parallelism.” Continue reading Google GPipe Library Speeds Deep Neural Network Training

Intel Team Focuses on Low Voltage Transistor to Power AI

Neuroscientist and Intel’s chief technology officer of AI Amir Khosrowshahi revealed that he is remaining at Intel with a team of researchers building an innovative integrated circuit (IC). The IC under development will feature transistors that will, hope the researchers, function at voltages as low as 100 millivolts, a step towards matching voltage of communication in the brain. The existence of such an IC would unleash power-hungry AI applications targeting climate change, waste management and other global problems. Continue reading Intel Team Focuses on Low Voltage Transistor to Power AI

CES Panel: Impact of Evolving Tech on Autonomous Vehicles

Faye Francy, executive director of the Automotive Information Sharing and Analysis Center (Auto-ISAC), led a conversation about the impact of machine learning, deep learning and AI on the autonomous vehicle (AV) ecosystem. “They work together to bring great things — and possibly nefarious things — to the auto industry,” she said. Inivision AI chairman Seamus Hatch noted that the three terms aren’t interchangeable. “We’re many years behind the singularity,” he said. “It’s a machine trained to solve a specific problem faster and more accurately than a human.” Continue reading CES Panel: Impact of Evolving Tech on Autonomous Vehicles

DeepRay Uses AI to Reconstruct Distorted Video in Real Time

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

DeepMind’s Learning Algorithm Could Prove a Game-Changer

DeepMind recently released the full evaluation of AlphaZero, a single system capable of playing “Go,” chess, and shogi (Japanese chess). This new project builds on AlphaGo, a program that beat one of the best players in the world at the board game “Go” in 2016, and AlphaGo Zero, software capable of mastering the game from first principles. AlphaZero represents a dramatic step forward in AI research as it is one of the first intelligent systems capable of generalizing solutions to new problems with little to no human input. Continue reading DeepMind’s Learning Algorithm Could Prove a Game-Changer

Intel Describes Tool to Train AI Models with Encrypted Data

Intel revealed that it has made progress in an anonymized, encrypted method of model training. Industries such as healthcare that need a way to use AI tools on sensitive, personally identifiable information have been waiting for just such a capability. At the NeurIPS 2018 conference in Montreal, Intel showed off its open-sourced HE-Transformer that works as a backend to its nGraph neural network compiler, allowing AI models to work on encrypted data. HE-Transformer is also based on a Microsoft Research encryption library. Continue reading Intel Describes Tool to Train AI Models with Encrypted Data

Nvidia Reveals Use of Neural Networks to Create Virtual City

Nvidia used processing power and neural networks to create a very convincing virtual city, which will be open for tours by attendees to this year’s NeurIPS AI conference in Montreal. Nvidia’s system, which uses existing videos of scenery and objects to create these interactive environments, also makes it easier for artists to create similar virtual worlds. Nvidia vice president of applied deep learning Bryan Catanzaro said generative models are key to making the process of creating virtual worlds cost effective. Continue reading Nvidia Reveals Use of Neural Networks to Create Virtual City

IBM, Harvard University Develop New Tool for AI Translation

At the IEEE Conference on Visual Analytics Science and Technology in Berlin, IBM and Harvard University researchers presented Seq2Seq-Vis, a tool to debug machine translation tools. Translation tools rely on neural networks, which, because they are opaque, make it difficult to determine how mistakes were made. For that reason, it’s known as the “black box problem.” Seq2Seq-Vis allows deep-learning app creators to visualize AI’s decision-making process as it translates a sequence of words from one language to another. Continue reading IBM, Harvard University Develop New Tool for AI Translation

Facebook’s VideoStory Relies on AI to Automate Storytelling

Facebook’s video clips get over 8 billion views a day on average, but people with bad Internet connections or disabilities often don’t have access to them. That led Facebook to create VideoStory, which the company described in a research paper as “A Dataset for Telling the Stories of Social Media Videos.” The paper, to be delivered at the Conference on Empirical Methods in Natural Language Processing, noted that, “automatically telling the stories using multi-sentence descriptions of videos would allow bridging this gap.” Continue reading Facebook’s VideoStory Relies on AI to Automate Storytelling

EA Announces New AI-Powered, Cloud-Native Gaming Tech

Electronic Arts unveiled Project Atlas, its “cloud-native gaming” technology, via a Medium blog post by chief technology officer Ken Moss. Although he did not say when it would be fully deployed and functional, Moss described Project Atlas as designed to “harness the massive power of cloud computing and artificial intelligence and putting it into the hands of game makers in a powerful, easy to use, one-stop experience.” The game engine combines rendering, game logic, physics, animation, audio, and more. Continue reading EA Announces New AI-Powered, Cloud-Native Gaming Tech