Google Scientists Generate Realistic Videos at Scale with AI

Google research scientists report that they have produced realistic frames from open source video data sets at scale. Neural networks are able to generate complete videos from only a start and end frame, but it’s the complexity, information density and randomness of video that have made it too challenging to create such realistic clips at scale. The scientists wrote that, to their knowledge, “this is the first promising application of video-generation models to videos of this complexity.” The systems are based on a neural architecture known as Transformers, as described in a Google Brain paper, and are autoregressive, “meaning they generate videos pixel by pixel.” Continue reading Google Scientists Generate Realistic Videos at Scale with AI

CES Keynote: LG Exec Asks if Life Is Better and By How Much

In his CES pre-show keynote presentation, LG Electronics president and chief technology officer Dr. I.P. Park set the stage for an AI-infused vision of tomorrow by questioning if we are “making our lives better, how much better, and better how?” Park called on XPRIZE Foundation founder and executive chairman Peter Diamandis to illustrate what artificial intelligence enables and Landing AI founder and CEO Andrew Ng to explain how AI technologies will evolve. Open-source webOS and 5G were the cornerstone technologies for the product demonstrations by Luxoft and Qualcomm, respectively. Continue reading CES Keynote: LG Exec Asks if Life Is Better and By How Much

Google’s Machine-Generated Speech Will Sound More Human

According to members of Google’s Brain and Machine Perception teams, researchers at the tech giant have developed “ways to make machine-generated speech sound more natural to humans,” even providing examples of the more expressive speech in a company blog post, reports VentureBeat. Google also announced the release of its Cloud Text-to-Speech services, which could “be used to bring more natural speech to devices, apps or digital services that utilize voice control or voice computing,” the article explains.

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Google Brain Leverages AI to Generate Wikipedia-Like Articles

The latest project out of Google Brain, the company’s machine learning research lab, has been using AI software to write Wikipedia-style articles by summarizing information on the Internet. But it’s not easy to condense social media, blogs, articles, memes and other digital information into salient articles, and the project’s results have been mixed. The team, in a paper just accepted at the International Conference on Learning Representations (ICLR), describes how difficult it has been. Continue reading Google Brain Leverages AI to Generate Wikipedia-Like Articles

Google Intends to Advance Machine Learning With its AutoML

In May, research project Google Brain debuted its AutoML artificial intelligence system that can generate its own AIs. Now, Google has unveiled an AutoML project to automate the design of machine learning models using so-called reinforcement learning. In this system, AutoML is a controller neural network that develops a “child” AI network for a specific task. The near-term goal is that AutoML would be able to create a child that outperforms human versions. Down the line, AutoML could improve vision for autonomous vehicles and AI robots. Continue reading Google Intends to Advance Machine Learning With its AutoML

Google Project Aims to Use AI to Develop More AI Algorithms

Google Senior Fellow Jeff Dean, who works on the Google Brain team, recently highlighted AutoML (for machine learning), a project aimed at using AI-empowered machines to build other AI machines, removing humans from the equation. The need for AI algorithms grows as its capabilities are becoming important to a wide range of industries. But only an estimated 10,000 people worldwide have the education, expertise and ability to construct those algorithms, and Facebook, Google and Microsoft pay millions of dollars for them. Continue reading Google Project Aims to Use AI to Develop More AI Algorithms

Amazon Creates AI-Based Tools for Spotting Fashion Trends

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

Microsoft Takes a Bigger Stake in AI With New Lab, Projects

The new Microsoft Research AI lab is now open for business, targeting the creation of a single system of general artificial intelligence that can flexibly work on a range of problems. Based at company headquarters in Washington state, the lab will be home to more than 100 scientists whose AI research spans fields including perception, learning, reasoning and natural language processing. The lab’s goal of general AI differs from narrow AI, which performs one task very well, such as facial recognition. Continue reading Microsoft Takes a Bigger Stake in AI With New Lab, Projects

Andrew Ng Leaves Baidu’s AI Group to Launch New Startup

AI visionary Andrew Ng — co-creator of the Google Brain research project, former chief scientist at Chinese web giant Baidu, and co-founder of online education platform Coursera — has launched a new AI company called deeplearning.ai. While details are scarce at this point, Ng recently promised “more announcements soon” via tweet. The company’s website simply features the tagline “Explore the frontier of AI,” followed by #deeplearniNgAI and “August 2017,” suggesting more information is coming later this summer. Continue reading Andrew Ng Leaves Baidu’s AI Group to Launch New Startup

China and Others Vie for Top Scientists in Race to Dominate AI

When Chinese company Baidu was able to lure Andrew Ng away from his position leading Google Brain, that company’s deep-learning project, it seemed like a good omen for China’s prospects in AI. Now, however, Ng has left Baidu, and China’s ability to compete with U.S. companies is in question. That’s in part because Chinese tech firms rely on free-agent talent to lead research, and Ng’s departure makes it unclear whether they can retain foreign talent. But even U.S. firms are vying for top talent in the burgeoning field. Continue reading China and Others Vie for Top Scientists in Race to Dominate AI

Google to Explore Using AI Systems to Produce Art and Music

During the Moogfest music and technology fest in North Carolina, Google Brain researcher Douglas Eck outlined a new artificial intelligence research project at Google called Magenta. The group, expected to publicly launch next month, plans to use the company’s machine learning engine TensorFlow to explore new ways that computers and AI systems could be trained to create original art and media such as music or video. The initiative should prove challenging; so far, the most advanced AI systems have struggled to replicate styles of existing artists. Continue reading Google to Explore Using AI Systems to Produce Art and Music