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

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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Google Debuts Deep Planning Network Agent with DeepMind

Google unveiled the Deep Planning Network (PlaNet) agent, created in collaboration with DeepMind, to provide reinforcement learning via images. Reinforcement learning uses rewards to improve AI agents’ decision-making. Whereas model-free techniques work by getting agents to predict actions from observations, agents created with model-based reinforcement learning come up with a general model of the environment leveraged for decision-making. In unfamiliar surroundings, however, agents must create rules from experience. Continue reading Google Debuts Deep Planning Network Agent with DeepMind

Twitter Is Working on Snapchat-Like ‘News Camera’ Feature

As it continues to ramp up its profile as a media company and aims to better compete with popular social platforms such as Snapchat and Instagram, Twitter has been testing a visual sharing tool described in its code as the “News Camera.” While Twitter users can already share images and video, this enhanced camera tool would encourage them to do so more frequently. The feature is accessible via a swipe on the home screen and offers users the ability to add captions to photos, video and live broadcasts before such content goes to the timeline. Continue reading Twitter Is Working on Snapchat-Like ‘News Camera’ Feature

Snapchat Considers Shift in Its Model With Permanent Snaps

Snap Inc. is reportedly mulling the introduction of longer lasting or permanent content to its popular Snapchat app, which has found a significant audience with a model based on disappearing photos and videos. Changing its most iconic feature would mark a major departure for Snap, but could lead to a much needed revenue source for the company if it doesn’t alienate its current users. Snapchat, which launched in 2011, is particularly popular with teens and millennials. Snap is also said to be considering an option that would allow for identifying users who create public posts. Continue reading Snapchat Considers Shift in Its Model With Permanent Snaps

Facebook Introduces Open-Source Image Processing Library

Facebook unveiled Spectrum, an open-source image processing library to help improve the quality and reliability of images uploaded through its own apps. Spectrum, which Facebook first showed publicly and launched in beta in November, is now on GitHub, available to the developer community. As higher quality cameras on smartphones have become a key selling point, consumers are dealing with larger image files, which can be a stumbling block since they eat up more device memory and more network bandwidth. Continue reading Facebook Introduces Open-Source Image Processing Library

Facebook Discloses Breach of User Photos to Third-Party Apps

Facebook said it discovered a bug that allowed unauthorized access to third-party apps of private photos, impacting about 6.8 million users. Facebook engineering director Tomer Bar said the company fixed the issue that allowed such apps “access to a broader set of photos than usual.” Starting with the Cambridge Analytica harvesting of user data, Facebook has had a string of problems related to data privacy, most recently with a serious hack in September that compromised the Facebook accounts of millions of users. Continue reading Facebook Discloses Breach of User Photos to Third-Party Apps

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

Pinterest Introduces New Features to Make Shopping Easier

In an effort to become more of a personal shopping assistant, Pinterest has introduced product recommendations with its new Product Pin system based on an individual’s tastes. It has also launched a shopping shortcut in the main home feed that provides easy access to a shopping-specific feed and list of shoppable Product Pins by holding down a Home or Style pin to access a shopping tag icon. Pinterest previously rolled out Buyable Pins for direct purchases through the platform in addition to other recommendation features such as Shop the Look and Lens that use machine learning and visual search. Continue reading Pinterest Introduces New Features to Make Shopping Easier

Nielsen Updates its Social Ratings to Measure Owned Content

Nielsen’s Social Content Ratings service — which measures the impact of television programming across social platforms Facebook, Instagram and Twitter — has been updated to include Owned Content Performance for helping television networks better understand social impact and optimize social strategies. During August, Nielsen examined more than 142,000 TV-related posts and tweets from accounts owned by or affiliated with networks, programs and talent handles, and discovered that images and video outperformed text in terms of engagement. Continue reading Nielsen Updates its Social Ratings to Measure Owned Content

Facebook Remains Popular Among U.S. Groups Except Teens

According to the latest eMarketer projections, the number of Facebook users in the United States will increase by only 0.9 percent this year to a total of 169.5 million. While the platform’s growth has leveled in the U.S., it remains the top social network among millennials, Generation X and baby boomers. However, interest in Facebook among U.S. teens continues to decline. Snapchat surpassed Facebook among teens in 2016 — and eMarketer predicts that Snapchat will attract 1.2 million new users ages 12 to 17 by 2022, while Facebook will lose 2.2 million teens during the same time frame. Continue reading Facebook Remains Popular Among U.S. Groups Except Teens

Why This Reviewer Hails Mastodon as a Refuge From Twitter

For people who may be growing tired of Twitter, there is Mastodon, an open-source community-run microblogging website that first appeared in 2017. The social media platform lets users post “toots” and “boost” other users’ posts. The decentralized network exists as numerous “instances,” each of which has its own rules and administrators and which together form a “federation.” There is no central server, so if one “instance” stumbles in some way (for example, forgets to pay for the Internet), none of the other instances are harmed. Continue reading Why This Reviewer Hails Mastodon as a Refuge From Twitter

Facebook to Develop Live Video Filtering Chips for Faster AI

Facebook has used Intel CPUs for many of its artificial intelligence services, but the company is changing course to adapt to the pressing need to better filter live video content. At the Viva Technology industry conference in Paris, Facebook chief AI scientist Yann LeCun stated that the company plans to make its own chips for filtering video content, because more conventional methods suck up too much energy and compute power. Last month, Bloomberg reported that the company is building its own semiconductors. Continue reading Facebook to Develop Live Video Filtering Chips for Faster AI

New Camera-First Twitter Feature Could Threaten Snap’s Ads

After its first profitable quarter on record, Twitter is focusing on new business and advertising opportunities. For example, sources say the social media company is currently working on a camera-first feature that could compete with Snap and potentially threaten its advertising opportunities. The new feature would combine videos and photos with the Twitter Moments feature, creating more real-time content around events and enabling companies to sponsor events or place ads between tweeted content.

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TV Time Adds Personalized Recommendations to its Features

The TV Time app, which boasts a million daily users, now offers filterable, personalized recommendations to help organize your viewing selections. With programming spread across multiple services, it is often a challenge to keep up with what’s out there, what’s new, and what you might enjoy. Based on a user’s viewing habits and behaviors across multiple services (such as Netflix, Hulu and cable), the app makes recommendations and helps users track what they’re watching while connecting with other fans after episodes.

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