The Consumer Technology Association forecast that U.S. consumer technology sales will grow 2.2 percent to $401 billion in 2019, due to AI-enabled devices, streaming services, and in-vehicle and other technologies. CTA chief executive Gary Shapiro noted that 5G will provide the faster connectivity that will help boost sales of new technologies, but warned, however, that “unnecessary tariffs — taxes paid by American consumers and businesses — threaten to slow down our nation’s economic momentum.” Continue reading CTA: Tech Sales to Reach New High of $401 Billion in 2019

Intel, which is in development on its Loihi “neuromorphic” deep-learning chips, just debuted Pohoiki Beach, code name for a new system comprised of 64 Loihi chips and eight million “neurons.” Loihi’s neuromorphism denotes the fact that it is modeled after the human brain, and Pohoiki Beach is capable of running AI algorithms up to 1,000 faster and 10,000 times more efficiently than the typical CPU. Applications could include everything from autonomous vehicles to electronic robot skin and prosthetic limbs. Continue reading Intel Debuts 64-Chip Neuromorphic System for AI Algorithms

Social networks, dating services, photo websites and surveillance cameras are just some of the sources of a growing number of databases compiling people’s faces. According to privacy advocates, Microsoft and Stanford University are among the many groups gathering images, with one such repository holding two million images. All these photos will be used to allow neural networks to build pattern recognition, in the quest to create cutting edge facial recognition platforms. Some companies have collected images for 10+ years. Continue reading Privacy Concerns Grow Over Facial Recognition Data Sets

At VentureBeat’s Transform 2019 conference in San Francisco, Intel vice president/chief technology officer of AI products Amir Khosrowshahi and IoT general manager Jonathan Ballon discussed the evolution of AI adoption. A Lopez Research survey revealed that 86 percent of companies believe AI will be strategic to their business, but only 36 percent of them report having made “meaningful progress.” Khosrowshahi pointed out that more companies than ever have access to the necessary data, tools and training. Continue reading AI Development Accelerates, Chips Speed Model Training

Social video startup TRASH aims to make it simple for users to create short videos to share with friends. CEO Hannah Donovan, previously general manager at Twitter’s now defunct Vine video app, co-founder of music-discovery site This Is My Jam, and former head of creative at Last.fm, points out that research shows most consumers carry powerful cameras with them, but don’t know much about editing video content. So she set out to leverage computer vision technology to analyze video and synthesize the content into an appealing sequence. The free TRASH app does just that, as explained by its simple tagline, “You shoot, we edit.” Continue reading Mobile App Uses AI Technology to Edit Short Social Videos

The U.S. House of Representatives’ Homeland Security Committee began a series of hearings to look into “emerging technological breakthroughs” to control malicious content posted on digital platforms by AI-enabled software including bots. Facebook head of global policy management Monika Bickert testified that the company has prioritized the development of such tools. Chief information officers at numerous tech companies are paying attention, worried that lawmakers are considering regulating the use of AI. Continue reading Lawmakers Aim to Control Malicious Content Enabled by AI

MLPerf, a consortium of 40 technology companies including Google and Facebook, just released benchmarks for evaluating artificial intelligence-enabled tools, including image recognition, object detection and voice translation. MLPerf general chair Peter Mattson, a Google engineer, reported, “for CIOs, metrics make for better products and services they can then incorporate into their organization.” Thus far, organizations have been slow to adopt AI technologies, in part due to the plethora of tools and services available. Continue reading Consortium Releases New Measurement Benchmarks for AI

Walmart is leveraging computer vision tech by Ireland-based Everseen and several other companies in more than 1,000 of its stores to more closely monitor checkouts. The surveillance program is internally referred to as Missed Scan Detection, and uses AI-powered cameras to identify and correct problems such as errors, fraud and theft during the checkout scanning process at self-checkout registers and those run by cashiers. The National Retail Federation notes that U.S. retailers lost an estimated $47 billion in 2017 to such problems. Continue reading Walmart Monitors Store Registers with AI-Powered Cameras

Game engines are now being used by different industries for their ability to create realistic images and manipulate them in 3D. Epic Games with its Unreal Engine and Unity Technologies both enjoy a revenue stream from licensing their game engines, which also power popular games from “Fortnite” to “Pokémon Go.” Designers and engineers combine game engines with virtual reality headsets to build products and other assets in an environment they find helps them be more creative and quicker to solve problems. Continue reading Game Engines Are Becoming Vital Tool for Many Industries

A growing number of venture capital and technology executives are pushing for a code of ethics for artificial intelligence startups, as well as tools to make algorithms’ decision-making process more transparent and best practices that include open, consistent communication. At Google, chief decision scientist Cassie Kozyrkov believes humans can fix AI problems. But the technology is still under intense scrutiny from the Department of Housing and Urban Development, the city of San Francisco and the European Commission, among others. Continue reading Tech Firms and Investors Develop AI Ethics, Best Practices

At its re:MARS AI conference earlier this month, Amazon previewed Alexa Conversations, a module within the Alexa Skills Kit that melds Alexa voice apps to allow users to perform complicated tasks requiring multiple skills — all with fewer lines of code. That’s because a recurrent neural network will be able to “generate dialogue flow” automatically, thus limiting the number of steps a user needs to order food or reserve a ticket. Amazon vice president David Limp dubbed Conversations “the Holy Grail of voice science.” Continue reading Alexa Conversations For Complex Tasks With Less Coding

Amazon, which launched its new StyleSnap feature to select iOS and Android users in April, will soon make the in-app tool widely available, said company worldwide consumer head Jeff Wilke at the company’s re:MARS AI conference in Las Vegas. Users can reach StyleSnap via a shortcut found by tapping the camera icon in the Amazon app’s upper right-hand corner. Based on image recognition, the machine learning-enabled StyleSnap (and Pinterest Lens competitor) will offer similar items to any photo or screenshot uploaded by a user. The algorithms also incorporate computer vision and deep learning. Continue reading Amazon’s AI-Enabled StyleSnap Is Ideal for Fashion Market

Amazon is launching a new service called Amazon Personalize in select regions of the U.S., Asia and Europe, with additional locations to be added. The service, first revealed at last year’s re:Invent conference, aims to personalize the customer experience by helping developers build apps, websites, email marketing and content management systems that provide product recommendations and personalized search results. “We are excited to share with AWS customers the expertise we’ve developed during two decades of using machine learning to deliver great experiences on Amazon.com,” said Swami Sivasubramanian, VP of machine learning. Continue reading Amazon Enables Tailored Recommendations via AI Service

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

Google and Microsoft are about to go mano-a-mano with new cloud-based gaming services. Google plans a limited launch in November of its Stadia service, which the company says will stream any title to any device. Microsoft, meanwhile, is building its Project xCloud on Azure, its own cloud network. Because every game on Xbox One, including Xbox 360 backward-compatible titles will be able to run on xCloud, the new service will debut with 3,500+ game titles. Microsoft said a beta version of its xCloud service will debut in October of this year. Continue reading Google and Microsoft to Intro Cloud-Based Gaming Services