Google Upgrades Shopping Portal, Extends Lens Capability

Google has streamlined its Shopping desktop and mobile portals in anticipation of the holiday season and unveiled a fashion recommendation engine for Google Lens, its AI-enabled computer vision search tool. According to Google Shopping vice president Surojit Chatterjee, the redesign is aimed at making it easier for users to “research and buy” what they are looking for. A personalized homepage offers product suggestions, and new sections allow re-ordering. Also more prominent are links to “nearby and online” stores. Continue reading Google Upgrades Shopping Portal, Extends Lens Capability

Pinterest Becomes a Visual Discovery Engine for Shopping

Pinterest is now promoting itself as a “visual discovery engine,” where its 300 million global monthly active users can not only browse billions of images but also purchase the items they find there. For most of its users, Pinterest is a go-to place for home décor, gardening and personal style, allowing users to “pin” or post photos to create inspiration boards. According to Pinterest, its AI technology can accurately pinpoint 2.5+ billion objects in photos, millions of which can be purchased by clicking on the item. Continue reading Pinterest Becomes a Visual Discovery Engine for Shopping

Intel’s 3D Tracking, VR and Other Tech to Enhance Olympics

The 2020 Tokyo Olympics will be enhanced by a suite of augmented and immersive tools and experiences empowered by artificial intelligence, it was announced last week by Intel and the International Olympic Committee (IOC). Intel will bring a host of innovations to the official games and to the new Intel World Open eSports tournament including 3D Athlete Tracking (3DAT), which combines augmented reality (AR) and AI for real-time insights, VR broadcasts and managerial training, and NEC facial recognition for streamlined operations. Continue reading Intel’s 3D Tracking, VR and Other Tech to Enhance Olympics

Google Open-Sources Real-Time Gesture Recognition Tech

Google relied on computer vision and machine learning to research a better way to perceive hand shapes and motions in real-time, for use in gesture control systems, sign language recognition and augmented reality. The result is the ability to infer up to 21 3D points of a hand (or hands) on a mobile phone from a single frame. Google, which demonstrated the technique at the 2019 Conference on Computer Vision and Pattern Recognition, also put the source code and a complete use case scenario on GitHub. Continue reading Google Open-Sources Real-Time Gesture Recognition Tech

Fyusion Demos Photoreal 3D Imaging Tech at SIGGRAPH

Fyusion, a computer vision/machine learning company, is demonstrating a new 3D imaging technology this week at SIGGRAPH 2019. The technology, aimed at providing digital marketers with photoreal images of products and scenes, uses light field technology to attain greater realism. The company has raised $70 million, including $3 million from Japan’s Itochu trading company and a “strategic investment” from Cox Automotive. The software is already being used for commercial purposes in automotive, retail and fashion industries. Continue reading Fyusion Demos Photoreal 3D Imaging Tech at SIGGRAPH

Mobile App Uses AI Technology to Edit Short Social Videos

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

Walmart Monitors Store Registers with AI-Powered Cameras

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

Amazon’s AI-Enabled StyleSnap Is Ideal for Fashion Market

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

Facebook Turns to Robots to Advance Artificial Intelligence

Humans learn from experience to not “do dumb things,” and Facebook chief AI scientist Yann LeCun is trying to create a version of that for robots, saying that systems that learn “models of the world” are our best shot at advancing artificial intelligence. Unlike a rewards/demerits-based reinforcement learning, Facebook’s tack is to instill curiosity, by giving the robot freedom to try new things. With New York University, Facebook also dramatically reduced the number of tries to teach a robotic arm to grasp an object. Continue reading Facebook Turns to Robots to Advance Artificial Intelligence

Gartner Report Shows Dramatic Growth in Enterprise AI Use

Gartner just released its 2019 CIO Survey of 3,000+ executives in 89 countries, which found that implementation of artificial intelligence grew 270 percent in the past four years. In 2018, use of AI grew 37 percent, up from 10 percent in 2015. The company estimates that the AI market will be valued at $6.14 billion by 2022. Gartner distinguished research vice president Chris Howard noted that we are still “far from general AI that can wholly take over complex tasks,” but that we have entered the “augmented intelligence” era. Continue reading Gartner Report Shows Dramatic Growth in Enterprise AI Use

CES Panel: 5G and Internet of Things From Robots to Tractors

Internet of Things is no longer just about smartwatches and fitness bands. At CES 2019, 5G enables ubiquitous connectivity — from tractors to robots. TechRadar mobile editor David Lumb presided over a panel of speakers from companies as diverse as John Deere, LG Electronics and Bosch. “We have a huge need for our machines to be connected,” said John Deere director of digital solutions Lane Arthur. “All our machines are enabled with 4G and we’re already moving a lot of data. 5G will enable us to do more.” Continue reading CES Panel: 5G and Internet of Things From Robots to Tractors

We Were Passengers in a Las Vegas ‘Self-Driving’ Rideshare

Autonomous vehicles have been a part of tech culture for so long that it’s hard to realize that only a handful of people have actually ridden in one. So it was with great surprise that our very first Lyft ride out of our Las Vegas hotel on Sunday night was in a “self-driving” vehicle. Lyft partnered with Irish auto-parts-company-turned-autonomous-vehicle-startup Aptiv (formerly known as Delphi) to offer CES attendees and Vegas commuters the option to ride in one of their 30 “self-driving” BMW 5 Series. Continue reading We Were Passengers in a Las Vegas ‘Self-Driving’ Rideshare

Here’s What We Hope to See This Week at CES Related to AI

With the buzz way down, AI research more vibrant than ever, and more mainstream experimentation, there’s a lot to potentially look forward to at CES 2019 in the field of AI and machine learning. And already it all seems to converge on one very interesting trend: pragmatism. As AI exits the lab, and heads into the world, we’re expecting new and compelling applications. At CES this week, we’re hoping to see advances in areas such as autonomous vehicles, consumer robots, computer vision, smart assistants, and a more integrated Internet of Things. Continue reading Here’s What We Hope to See This Week at CES Related to AI

CES Unveiled: A Look at This Year’s Innovation Award Winners

On Sunday, CES “unveiled” its Innovation Award winners for the year, in a room also crowded with numerous startups eager to showcase their technologies. This year was, again, a plethora of self-care, health-oriented products as well as many related to smart homes and home security. The 31 companies/products honored this year for “best of innovation” fell into the categories of digital imaging/photography, smart home, smart energy, wearable technologies, computer hardware, virtual reality and video displays among others. Continue reading CES Unveiled: A Look at This Year’s Innovation Award Winners

Hive Builds Tailored AI Models via 700,000-Person Workforce

Hive, a startup founded by Kevin Guo and Dmitriy Karpman, trains domain-specific artificial intelligence models via its 100 employees and 700,000 workers who classify images and transcribe audio. The company uses the Hive Work smartphone app and website to recruit the people who label the data, and recently introduced three products: Hive Data, Hive Predict, and Hive Enterprise. Shortly after the product launch, Peter Thiel’s Founders Fund and other venture capital firms invested $30 million in the startup. Continue reading Hive Builds Tailored AI Models via 700,000-Person Workforce

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