Facebook’s Rosetta is a machine learning system that extracts text in many languages from over one billion images in a real time. Facebook built its own optical character recognition system that can process such huge amount of content, day in and day out. In a recent blog post, Facebook explained how Rosetta works, using a convolutional neural network to recognize and transcribe text, even non-Latin alphabets and non-English words. The system was trained with a mix of human- and machine-annotated public images. Continue reading Facebook Adds 24 Languages to Rosetta Translation Feature

Huawei, in partnership with Taiwan Semiconductor Manufacturing Company (TSMC), debuted the Kirin 980, the first mobile chip fabricated on a 7nm process. The Kirin 980 features 6.9 billion onboard transistors, about 1.6 times the number on the Kirin 970, while shrinking the die size down from 10nm. The result offers a 40 percent reduction in power consumption, and a 20 percent improvement in several processing metrics. That feat took 1,000 senior engineers three years and more than 5,000 prototypes to achieve success. Continue reading Huawei Kirin 980: First 7nm Mobile Chip Amps Up Processing

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

The Entertainment Technology Center @ USC hosted its fourth annual virtual conference, “vETC 2018 | The Grand Convergence” June 27-28 at the Technicolor Experience Center in Los Angeles. This year’s program highlighted talks in the artificial intelligence, immersive experience and adaptive production sectors. Thought leaders from the entertainment and service industries presented an insider’s look into the emerging technologies disrupting everything from the creative process to business models and consumer behavior. Videos from the conference are going live for viewing on the ETCenterVideos YouTube channel and include presentations from Microsoft Azure, Technicolor, Equinix, Deluxe, Amazon Web Services, USC School of Cinematic Arts and Viterbi School of Engineering. Watch your daily eblast over the next few weeks for updates highlighting the vETC 2018 videos. Continue reading ETC@USC Posts vETC 2018 Videos on its YouTube Channel

In June, in a letter to Amazon chief executive Jeff Bezos, almost 19 groups of Amazon shareholders expressed concern about the company’s cloud-based facial recognition system Rekognition being provided to law enforcement in Orlando, Florida and the Washington County (Oregon) Sheriff’s Office. They joined forces with Amazon employees, the ACLU, academics and more than 70 other groups to protest the decision. After the ACLU showed how Rekognition can err in IDing people, three Democratic lawmakers joined the chorus. Continue reading Amazon Makes the Case That Rekognition Is a Force for Good

The credit reporting company Experian is adopting machine learning to get a jump on identifying problems and predicting application behavior more reliably. Machine learning tools can help such Experian tools as ServiceNow, which monitors infrastructure performance and spots unusual, potentially threatening behavior. With machine learning, Experian hopes to head off and/or fix problems that could impact, and potentially lose, customers. The company also now mandates that monitoring be built into all new applications. Continue reading Experian Uses Machine Learning for Predictive Maintenance

The Entertainment Technology Center @ USC hosted its fourth annual virtual conference, “vETC 2018 | The Grand Convergence” June 27-28 at the Technicolor Experience Center in Los Angeles. This year’s program highlighted talks in the artificial intelligence, immersive experience and adaptive production sectors. Thought leaders from the entertainment and service industries presented an insider’s look into the emerging technologies disrupting everything from the creative process to business models and consumer behavior. Videos from the conference are going live for viewing on the ETCenterVideos YouTube channel and include presentations from Microsoft Azure, Technicolor, Equinix, Deluxe, Amazon Web Services, USC School of Cinematic Arts and Viterbi School of Engineering. Continue reading ETC@USC Posts vETC 2018 Videos on its YouTube Channel

At its Cloud Next conference, Google revealed that its AutoML Vision, which allows non-experts to train their own self-learning models for image and object recognition, will soon be available in public beta. It also debuted AutoML Natural Language and AutoML Translation. To democratize such techy AI tools, Google relied on a simple graphical interface and such widely adopted interfaces as drag-and-drop. The company is also pitching its cloud services to corporations, having recently nabbed Target as a client. Continue reading Google to Open Up Its AutoML Vision AI Tool for Public Beta

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

Amazon has thus far dominated the cloud computing business, but Microsoft is now a strong No. 2. The latter, in a quarterly financial report, indicated that its Azure cloud computing unit grew 89 percent over the same period a year ago and demonstrated growth in other cloud offerings. Synergy Research Group reports that the overall “core cloud business” is valued at $60 billion a year, having grown by 50 percent in Q1 2018. Amazon is responsible for a 33 percent share, which had held steady since the end of 2015. Continue reading Microsoft Azure Grows to the No. 2 Spot in Cloud Computing

To strengthen its AI Research division (FAIR) and focus on robotics, Facebook is adding five highly regarded computer scientists to its Menlo Park, California headquarters, as well as facilities in Pittsburgh, Seattle and London. The new hires include Carnegie Mellon University professors Jessica Hodgins and Abhinav Gupta, who will head a lab focusing on robotics, a newer area for Facebook. University of Washington’s Luke Zettlemoyer, an expert on natural language processing (NLP), will join the Seattle AI research team. Continue reading Facebook Explores Robotics and NLP, Opens More AI Labs

Tech companies rely on artificial intelligence algorithms to recommend content, thus keeping users on their apps and platforms. While the benefit of that is obvious for the companies using AI, how the consumer might reap rewards is less clear. Some of those same companies are now asking themselves if they can both use AI to keep the consumer’s attention while also adhering to an ethical framework. IBM Research and MIT Media Lab have developed a recommendation technique that its research scientists say does just that. Continue reading IBM and MIT Media Lab Test AI Recommendation Algorithm

Google launched four new ad products to automate the process of buying ads and create a central marketing hub for Google. Via an integration with Shopify, Google now runs shopping ads on its site and enables advertisers to buy these ads directly through Shopify, a move that helps both companies fend off rival Amazon. The new ad products allow marketers to set a goal and then pursue it with ads across Google Search, Google Maps, YouTube and the Internet. Google ads head Sridhar Ramaswamy describes it as a “one-stop shop.” Continue reading New Features Make it Easier to Run Ads on Google Services

A research team at Google’s AI unit DeepMind, led by Ali Eslami and Danilo Rezende, has created software via a generative query network (GQN) to create a new perspective of a scene that the neural network has never seen. The U.K.-based unit developed the deep neural network-based software that applies the network to a handful of shots of a virtual scene to create a “compact mathematical representation” of the scene — and then uses that representation to render an image with a new perspective unfamiliar to the network. Continue reading DeepMind Intros Intriguing Deep Neural Network Algorithm

Facebook announced yesterday that it was notifying more than 800,000 users about a bug in Facebook and Messenger that unblocked some of the people that those users had previously blocked. The bug was active between May 29th and June 5th. “It did not reinstate any friend connections that had been severed,” according to Facebook chief privacy officer Erin Egan. “83 percent of people affected by the bug had only one person they had blocked temporarily unblocked, and someone who was unblocked might have been able to contact people on Messenger who had blocked them.” Continue reading Facebook Notifying Over 800,000 Users About Blocking Bug