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

Niantic, the company that released “Pokémon Go,” just acquired Matrix Mill, a U.K.-based computer vision/machine learning startup, with the goal of expanding its augmented reality capabilities. Niantic chief executive John Hanke also stated that the company this year will release a “major update” to its “Ingress” game as well as a new AR game, “Harry Potter: Wizards Unite,” and reveal additional games in the next few weeks. At an event, developers and journalists were able to try out the platform powering these games. Continue reading Niantic Acquires Matrix Mill to Advance AR Gaming Features

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

Brands need an app strategy, say the experts. Shoppers, especially millennials, are increasingly purchasing goods through their smartphones. Forrester Analytics reports that smartphone purchases in 2018 will reach $118 billion, up from $13.4 billion in 2013. But to be successful with an app, the brand needs to ensure that its performance is superior, as users will quickly rid themselves of apps that are slow, push too many notifications, do not offer exclusive sales or promotions or have a confusing layout. Continue reading Brand Strategy for Mobile Apps Is Crucial, Tricky to Manage

Some startups are trying to create another form of AI than deep learning, to minimize the amount of training, data and server power needed. Samsung Next, the South Korean company’s venture capital unit, just launched the Q Fund to jumpstart this idea by funding companies focusing on new ways of developing artificial intelligence. One of Q Fund’s first investments is Vicarious, a startup that wants to give machines “imagination” and is inspired by biology to make machines learn more quickly. Continue reading Samsung Fund to Boost Startups with New Approaches to AI