As artificial intelligence-based tools become more widespread in the business industry, cloud service companies are debuting tools that explain the artificial intelligence algorithms they use to provide more transparency and assure users of their ethical behavior. That’s because regulated industries are demanding it. Capital One and Bank of America are just two such companies interested in using AI to improve detection of fraud, but want to know how the algorithms work before they implement such tools. Continue reading Accounting, Finance Industries Demand Explainable AI Tools

During last week’s The Reel Thing at the Academy’s Linwood Dunn Theater in Hollywood, Video Gorillas managing director/chief executive Jason Brahms, formerly a Sony Cloud Media Services executive, and chief technology officer Alex Zhukov described the Bigfoot “Frame Compare” solution that leverages machine learning to speed up preservation, asset management, and mastering workflows. The engine, whose development dates back to 2007, relies on a proprietary, patented technology, frequency domain descriptor (FDD). Continue reading The Reel Thing: Machine Learning Powers Restoration Engine

IBM now has a patent-pending, machine learning enabled watermarking process that promises to stop intellectual property theft. IBM manager of cognitive cybersecurity intelligence Marc Ph. Stoecklin described how the process embeds unique identifiers into neural networks to create “nearly imperceptible” watermarks. The process, recently highlighted at the ACM Asia Conference on Computer and Communications Security (ASIACCS) 2018 in Korea, might be productized soon, either within IBM or as a product for its clients. Continue reading IBM Creates Machine-Learning Aided Watermarking Process

Google researchers have created a machine learning system that adds color to black & white videos, and can also choose which specific objects, people and pets receive the color treatment. The technology is based on what’s called a convolutional neural network, which is architecturally suited for object tracking and video stabilization. Meanwhile, Nvidia has debuted an algorithm that slows down video, without the jitters, after it’s been captured, by using a neural network to create “in between” frames required for smooth motion. Continue reading Google, Nvidia Train Neural Networks to Post-Process Video

OpenAI, an artificial intelligence research group backed by Elon Musk, stated that its software can beat “teams of five skilled human players” in Valve’s video game “Dota 2.” If verified, the achievement would be a milestone in computer science and a leap beyond other AI researchers working on mastering complex games. IBM’s software mastered chess in the late 1990s, and Alphabet’s DeepMind created software that dominated “Go” in 2016. “Dota 2” is a multiplayer sci-fi fantasy game where teams advance through exploration. Continue reading OpenAI Beats Human-Player Team at Complex Video Game

The Intel AI Lab, which open-sourced a library for natural language processing, plans to open-source more such libraries, to help developers and researchers speed up the process of giving virtual assistants and chatbots functions such as name entity recognition, intent extraction and semantic parsing. With new libraries, these developers can also publish research, train and deploy artificial intelligence and reproduce the latest innovations in the AI community. Intel’s first conference for AI developers was held May 23-24 in San Francisco. Continue reading Intel AI Lab Reveals Plans to Open-Source More NLP Libraries

At the Technicolor Experience Center in Culver City, Nvidia held an event highlighting its decisive move into software, with artificial intelligence, virtual reality and other areas. Vice president of developer programs Greg Estes noted that the company has 850,000 developers all over the world in universities and labs as well as companies like Adobe. Its developer program provides hands-on training in AI and parallel computing, impacting the media and entertainment industry, as well as smart cities, autonomous vehicles and more. Continue reading Nvidia Emphasizes Software at Technicolor Experience Event

As part of the Next-Generation Media Technologies education track at the upcoming NAB Show in Las Vegas, a half-day conference produced by Rochelle Winters will examine the latest trends in Machine Intelligence and Content Creation (Tuesday, April 10, 9:00 am – 12:00 pm). The program will examine how studios, creative service companies and filmmakers are using machine learning, deep learning and artificial intelligence to help produce content. Leading technologists, production execs and content creators will share the latest research and case studies involving machine intelligence. Continue reading NAB Program to Look at Machine Intelligence, Content Creation

As part of the Next-Generation Media Technologies education track at the upcoming NAB Show in Las Vegas, a half-day conference produced by Rochelle Winters will examine the latest trends in Machine Intelligence and Content Creation (Tuesday, April 10, 9:00 am – 12:00 pm). The program will examine how studios, creative service companies and filmmakers are using machine learning, deep learning and artificial intelligence to help produce content. Leading technologists, production execs and content creators will share the latest research and case studies involving machine intelligence. Continue reading NAB Program to Look at Machine Intelligence, Content Creation

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.

Continue reading Google’s Machine-Generated Speech Will Sound More Human

Microsoft’s Brainwave system, which is “specialized hardware for AI computation,” was able to “get more than 10 times faster performance for a machine learning model that powers functionality of its Bing search engine,” reports VentureBeat. Brainwave is designed to run trained neural networks as quickly as possible with minimal latency and with the goal of providing “roughly real-time artificial intelligence predictions for applications like new Bing features.” This news was shared with a handful of Bing updates announced Monday.

Continue reading Microsoft Claims Brainwave Pushes Bing’s AI 10 Times Faster

Palo Alto-based startup Arraiy is developing methods for automating part of the often-tedious process of producing visual effects for movies, TV shows and video games. “Filmmakers can do this stuff, but they have to do it by hand,” said CTO Gary Bradski, who has worked with tech companies such as Intel and Magic Leap. The Arraiy team, led by Bradski and CEO Ethan Rublee, “are building computer algorithms that can learn design tasks by analyzing years of work by movie effects houses,” reports The New York Times. “That includes systems that learn to ‘rotoscope’ raw camera footage, carefully separating people and objects from their backgrounds so that they can be dropped onto new backgrounds.” Continue reading Startup Using AI to Help Create Effects for Movies, TV, Games

Facial recognition is getting better by leaps and bounds, and some of the examples of how it is being used are disturbing. In Russia, the website FindFace matches submitted photos to VK, that country’s Facebook knock-off. Trolls are using it to identify and harass women who appear in adult videos. China uses cameras with facial recognition to tag jaywalkers, and, in Dubai, police wear Google Glasses to identify people. In the U.S., the government facial recognition system can already identify the faces of half of all American adults. Continue reading Invasive Use of Facial Recognition Tech Already Widespread

CES 2018 is out the gates, and, as expected, artificial intelligence is still very much present in products, conversations and conference panels. Still in its quest to become synonymous with AI, Nvidia did not disappoint at its press event Sunday and its “Autonomous Machines” keynote Tuesday morning. From doubling down on autonomous vehicles to AI-composed music (in partnership with Disney), to a technically impressive foray into intelligent video analytics to power smart cities, the CES darling is still — by far — the biggest AI enthusiast at the show. Continue reading Artificial Intelligence Front But Not Center at CES Trade Show

In a roving two-hour presentation, Nvidia CEO Jensen Huang unveiled a raft of products, partnerships and performance achievements at CES 2018. Focusing mostly on the automotive industry, Huang showed off the GPU giant’s new autonomous driving software stack powered by Xavier, a system-on-chip (SoC) for artificial intelligence-empowered car platforms, and touted partnerships with more than 320 car and truck companies. Huang also showcased a large HDR display for giant-screen, PC gaming and streamed an AI-generated motion picture theme composed in the style of “Star Wars” by John Williams. Continue reading CES: Nvidia Stakes Claim to Automotive and Entertainment AI