iPhone 11’s Deep Fusion Creates Composited HDR Images

With the beta of iOS 13.2 arriving with the new iPhone 11, Apple is previewing Deep Fusion, the company’s name for machine learning-aided computational photography to enhance details. The trick of snapping multiple exposures that are then composited into an ideal photo might not sit well with professional photographers, but the A13 Bionic-enabled iPhone 11 will do just that, beginning to shoot before the shutter button is pressed and then picking the best bits of the photos to create the best one possible. Continue reading iPhone 11’s Deep Fusion Creates Composited HDR Images

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

Costs of Teaming With Social Media Influencers on the Rise

Recent reports from influencer marketing services indicate that brands and marketers are concerned with the growing costs of working with social influencers. According to a Mediakix survey, more than one-third of marketers in the U.S. explained that the rising cost in this space has become a significant challenge to marketing. A report from Klear points out that nano-influencers on YouTube (with 500 to 5,000 followers) earn an average of $315 per video, and power-influencers (with 30,000 to 500,000 followers) charge an average of $782 per video. Continue reading Costs of Teaming With Social Media Influencers on the Rise

Instagram Expands Tests of Hiding Likes to Reduce Anxiety

Facebook’s Instagram began testing a new approach with users in Canada two months ago and this week expanded its efforts to include users in Australia, Brazil, Ireland, Italy, Japan and New Zealand. The experiment removes emphasis on the “Like” feature to minimize the pressure to compete, while hopefully creating a more personal and enjoyable experience. Users are still able to see who liked other people’s posts or watched their videos, but there is no longer a running tally of the number of likes and views (however, users can still privately see the counts for their own posts). Continue reading Instagram Expands Tests of Hiding Likes to Reduce Anxiety

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.

Continue reading New Google-Landmarks-v2 Dataset Means More AI Training

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

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