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

Tech Firms and Investors Develop AI Ethics, Best Practices

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

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

Amazon Enables Tailored Recommendations via AI Service

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

Graphcore Builds Intelligence Processing Units For Better AI

British startup Graphcore has developed an AI chip for computers that attempts to mimic the neurons and synapses of the human brain, so that it can “ponder” questions rather than analyze data. Up until now, said Graphcore co-founder and chief executive Nigel Toon, GPUs and CPUs have excelled at precision, using vast amounts of energy to achieve small steps. Toon and Graphcore co-founder and CTO Simon Knowles dub their less precise chips as “intelligence processing units” (IPUs), that excel at aggregating approximate data points. Continue reading Graphcore Builds Intelligence Processing Units For Better AI

Apple Divides iTunes Features into Music, Podcast, TV Apps

Apple executives announced the end of iTunes at its annual Worldwide Developer Conference (WWDC) this week. But iTunes features will live on in three apps: Apple Music, Apple Podcasts and Apple TV. The iconic iTunes was created 18 years ago as a so-called digital jukebox that allowed users to import and organize music and burn custom mixes. It evolved into a music store, where an enormous variety of songs sold for 99 cents. In 2003, Steve Jobs declared that “people want to buy their music on the Internet by buying downloads.” Continue reading Apple Divides iTunes Features into Music, Podcast, TV Apps

Amazon Testing Wearable That Recognizes Your Emotions

Amazon is working on a new wearable, codenamed Dylan, that reportedly can discern human emotions. The voice-activated gadget, developed by Amazon in collaboration with Lab126 and the Alexa voice software team, is worn on the wrist and is meant to address health and wellness. Lab126 previously worked with Amazon to build its Fire phone and Echo speaker. According to sources, the wearable includes microphones that pair with software and work with a smartphone app to glean the user’s emotional state via the sound of his/her voice. Continue reading Amazon Testing Wearable That Recognizes Your Emotions

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

Etsy Turns to Google Cloud to Improve Search, Boost Sales

Etsy, the online crafts marketplace, boasts more than 60 million unique items and is using Google’s machine learning technology to help boost sales. Because more than 80 percent of its search-based purchases come from the first page of results, it is crucial to provide relevant items on that page. With that in mind, Etsy started a move to Google Cloud in 2017, motivated by the platform’s artificial intelligence capabilities. About three-fourths done with the migration, it’s already seen $260 million in incremental gross sales.

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San Francisco Is First to Prohibit Use of Facial Recognition

The San Francisco Board of Supervisors, in an 8-to-1 vote, outlawed the use of facial recognition by police and other agencies, making it the first major U.S. city to do so. The vote comes as many U.S. cities are turning to facial recognition to identify criminals, while civil rights advocates warn of its potential for mass surveillance and abuse. But San Francisco city supervisor Aaron Peskin, who sponsored the bill, said its passage sent a message, particularly from a city known as a center for new technology. Continue reading San Francisco Is First to Prohibit Use of Facial Recognition

YouTube Launches New Ad Tool Dubbed Bumper Machine

Ahead of the May 14th Google Marketing Live event, during which the company will describe its latest digital marketing products, YouTube announced a new editing tool designed to streamline ad production. Bumper Machine, which YouTube is currently alpha testing, intends to help advertisers optimize content for mobile audiences by identifying compelling moments in video content to create packages of six-second videos that highlight key brand and product information. According to IAB, mobile video ads are steering a significant part of the digital media market, worth $107.5 billion last year in the U.S. alone. Continue reading YouTube Launches New Ad Tool Dubbed Bumper Machine

Android Q Live Caption Feature Enables Real-Time Subtitles

During Google’s I/O 2019 developers conference this week, the company demonstrated an impressive new feature for mobile operating system Android Q. Called Live Caption, the feature enables real-time transcription for any video or audio that users play on their smartphones. No matter if they’re listening or watching via YouTube, Skype, Instagram, Pocket Casts, or other applications, Live Caption overlays the text on top of whatever is being used. Additionally, Live Caption will work on top of original video or audio recordings on users’ phones.

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Microsoft Continues Plan to Democratize Machine Learning

Ranging from no-code tools to hosted notebooks, Microsoft released new machine learning products and announced updates to existing products ahead of its Build developer conference. At the core of these releases and updates is Microsoft’s goal to democratize access to artificial intelligence amidst competition with other big players like Google and Amazon Web Services, as well as a number of highly specialized startups. In general, companies are looking for increasingly powerful tools to be more productive and build models quicker.

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New Google-Landmarks-v2 Dataset Means More AI Training

For a long while, Google’s AI research division has been on a mission to grow capable of accurate instance-level landmark recognition and retrieving images — both widely recognized as extremely difficult. To that effort, last year, it released its Google-Landmarks dataset and hosted two competitions for more than 500 machine learning researchers. Last week, it went a step further with the release of its open-sourced Google-Landmarks-v2, which contains double the photos featuring seven times the landmarks.

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Facebook Pushes Core Principles at Developer Conference

With an emphasis on privacy, Facebook made a series of compelling announcements at its annual F8 developer conference this week. Chief executive Mark Zuckerberg detailed six core principles that will be embedded across the company’s services: private interactions, improved data encryption, interoperability, general safety, reducing permanence and secure data storage. The principles arrive following a difficult period for the social giant, as it continues to face criticism regarding privacy-related scandals while contending with increased scrutiny from global regulators. Continue reading Facebook Pushes Core Principles at Developer Conference

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