Microsoft Research, with almost 50 engineers from a dozen technology companies, created a checklist for AI ethics intended to spur conversation on the topic and raise some “good tension” within organizations. To that end, the list, rather than asking “yes” or “no” questions, instead suggests that teams “define fairness criteria.” Participants were not identified by name, but many are in AI-related fields like computer vision, natural language processing and predictive analytics. The group hopes to inspire future efforts. Continue reading Microsoft Research Leads Team to Author AI Ethics Checklist

Facebook debuted a powerful tool against spammers that uses Deep Entity Classification (DEC), a machine-learning technology. The company’s data science manager Bochra Gharbaoui reported the tool has already taken down 6.6 billion fake accounts last year and blocked millions of attempts to create new ones. DEC analyzes “deep features” of each individual profile, which refers to its behavioral patterns rather than its direct characteristics and includes the profile’s properties and groups/pages the user has contacted. Continue reading Facebook’s Anti-Spam Tool Takes Down 6.6B Fake Accounts

In three months, Honeywell International will roll out an “early stage” quantum computer for “commercial experiments,” with JPMorgan Chase as its first public user. Honeywell Quantum Solutions president Tony Uttley stated it will speed up calculations and develop new materials and trading strategies for financial services firms, but it could also be used to power machine learning calculations by aerospace, oil and gas companies. IBM, Google and Microsoft are also at work on quantum computing solutions. Continue reading Honeywell Prepares Launch of Powerful Quantum Computer

Facebook’s 3D Photos feature — which uses depth data to create images that can be examined from different angles via virtual reality headsets — is now available on any of the latest handsets with a single camera, including Apple iPhone 7 or higher or any midrange (and above) Android phone. According to Facebook, the latest in machine learning techniques has made this feature possible. The company first unveiled 3D Photos in late 2018, when it required either a dual-camera phone or a depth map file on the desktop. Continue reading Facebook’s 3D Photos Now Available for All Latest Handsets

Humans fear the very real possibility of robots replacing them in work environments, so manufacturers are doubling down on designing those robots to look friendly rather than threatening. As University of Central Florida professor Peter Hancock puts it, “it’s like Mary Poppins … a spoonful of sugar makes the robots go down.” Even if they don’t replace humans, robots already in the workplace are working in management, tracking workers’ every move, telling them to work faster, and even docking their pay. Continue reading Robots Look Friendly But Surveil, Manage Staff in Workplaces

Amazon is testing two AI-powered systems as customer support agents, one of which will automatically field customer calls without human intervention and the other which will help human service agents respond more quickly to requests. Amazon applied-science manager Jared Kramer said the AI agents rely on machine learning and refer requests they can’t handle to human agents. Amazon also debuted its cashierless “Go” technology in a large grocery store, in advance of possibly licensing the system to other retailers. Continue reading Amazon Tests AI Customer Support Agents, Opens Go Market

In 2018, the Academy of Motion Picture Arts and Sciences established the Academy Software Foundation, with the mission of increasing the “quality and quantity of open source contributions … [to] lower the barrier to entry for developing and using” it. Its genesis was a survey conducted by the AMPAS Science and Technology Council that found 84 percent of those in the media & entertainment industry used it — but had challenges. At HPA Tech Retreat, ASWF executive director David Morin updated the group’s activities. Continue reading HPA Tech Retreat: Latest From Academy Software Foundation

Google has unveiled AutoFlip, an open source, AI-enabled tool that offers smarter, automated video reframing. A lot of video is captured in landscape aspect ratios such as 16:9 and 4:3, not optimized for different (read: vertical) display devices. The traditional method has been to statically crop the material that doesn’t fit in the destination device, but that usually offers an unsatisfactory result. AutoFlip, however, relies on AI object detection and tracking to intelligently understand the video content. Continue reading Google’s AutoFlip for Automated AI-Enabled Video Reframing

Twitter announced yesterday that it would be more assertive in identifying fake and manipulated content on its platform. Beginning next month, the company plans to add labels or remove tweets that feature such manipulated images and video content. While short of an outright ban, the new policy is meant to address the growing concern of users frustrated by the practice of disinformation spread via social platforms. However, it also highlights the challenges faced by social media companies in regards to balancing freedom of speech, parody and satire, and false or manipulated content. On Monday, YouTube announced its plans to better manage misleading political content on its site. Continue reading New Twitter Policy Aims to Combat Fake Photos and Video

AI can enable many important tasks from manufacturing to medicine, but only if the applications are speedy and secure. Communication via the cloud adds latency and risks privacy, which is why Google worked on a solution — dubbed Coral — that avoids centralized data centers. Coral product manager Vikram Tank described Coral as a “platform of [Google] hardware and software components … that help you build devices with local AI — providing hardware acceleration for neural networks … right on the edge device.” Continue reading Google Bypasses Cloud to Offer AI to Enterprise Customers

Experts have made it clear that artificial intelligence will soon impact all industries, and at a CES panel on “AI — All Industry Integration,” moderated by Future PLC global editor-in-chief Bill Gannon, three experts teased out what that means for chatbots, computers, smartphones and automotive. All three noted some of the common challenges, including the need to change current business models, proactively provide mechanisms for users to guard their data and find ways to cope with the unforeseen going forward. Continue reading CES Panel Discusses the Industries That Are Integrating AI

At Sunday’s opening CES event, CTA’s VP of research Steve Koenig and director of research Lesley Rohrbaugh revealed trends for CES 2020, as we move “into the data age.” “In the previous decade, we could describe the dynamic in hardware, software, apps and even content as IoT, the Internet of Things,” said Koenig. “In the new decade, we’ll be increasingly confronted with a new IoT: the Intelligence of Things. This new IoT bears testimony to the fact that AI is permeating commerce and culture.” Continue reading CES 2020: The Next Decade Brings the Intelligence of Things

Continue reading Dynamic Branding: Ryff’s Quest for Virtual Product Placement

Yesterday we noted that recent years have seen the Internet of Things and next-generation 5G networks evolving on parallel tracks. From autonomous vehicles to smart factories and wearables, 5G promises to super-charge speed, low latency and reliability. As carriers begin to introduce 5G networks, and we gear up for next month’s CES in Las Vegas, it’s time to check-in about the state of the relationship between these two technologies. Today, we’ll address the convergence of 5G and IoT in the enterprise space. Continue reading CES: 5G and the Internet of Things Take First Steps – Part 2

Facebook has been under fire for abuse on its platform, although chief executive Mark Zuckerberg often said that its AI tools have been successful at diminishing such problems. It turns out that he’s right: Facebook’s recent Community Standards Enforcement Report revealed that it removed 32+ billion fake accounts between April and September, compared to “just over 1.5 billion” during the same period last year. Largely responsible for the improvement is deep entity classification (DEC), a machine learning framework. Continue reading Facebook’s AI Technique Deletes 32 Billion Fake Accounts