Posts Tagged ‘image search’

Just What We’ve All Been Waiting For: Bing Now Offers Emoji Search

queenZach Miners of PC World reports, “Bing now supports searches with emoji, meaning you can insert or paste a range of emoji icons like hearts, smiley faces, food graphics, or any combination thereof, for some interesting, though not always useful, results. It’s a novelty feature, yes, but still fun. And one that could help Bing draw at least some attention away from Google. Google at the moment does not give results for emoji searches, though its auto-complete technology does recognize them. Yahoo, meanwhile, does support emoji searches. Bing’s tool is available in all English markets, the search engine said, offered as an homage to the shorthand’s popularity.” Read more

Google, Jetpac, and Deep Learning

jetpacChristian de Looper of TechTimes recently wrote, “Google is buying Jetpac Inc., an business that makes city guides using publicly available Instragram photos. Using that data, Jetpac determines things like the happiest city… Jetpac essentially algorithmically scans users Instagram photos to generate lists like ‘10 Scenic Hikes’ which can be very handy for those travelling in a city they’ve never been to before. Jetpac has created a total of around 6,000 city guides. Not only that, but the app also puts users’ knowledge of cities to the test in a number of quizzes” Read more

Deep Learning Startup Madbits Acquired by Twitter

MADBITSDerrick Harris of GigaOM reports, “Twitter has acquired a stealthy computer vision startup called Madbits, which was founded by former New York University researchers. Clément Farabet and Louis-Alexandre Etezad-Heydari. Farabet is a protégé of Facebook AI Lab director and New York University professor Yann LeCun, while Etezad-Heydari was advised by Larry Maloney and Eero Simoncelli.” Read more

Is Baidu Coming for Google?

baidu-logoAviva Rutkin of New Scientist recently wrote, “Rumours have been circulating that the Chinese search engine is developing a bike that could drive itself through packed city streets. The project isn’t ready to be launched yet but Baidu confirmed it is exploring the idea.The news is intriguing, and not just because self-navigating bikes would be cool. Research into autonomous vehicles is yet another way that Baidu is following Google’s model of pushing at the boundaries of artificial intelligence.” Read more

Amazon’s Firefly for New Fire Phone offers ‘Semantic Boosting’

fire phone

Megan Geuss of Ars Technica reports, “At a Wednesday press conference in Seattle, Amazon announced a service that would go along with its newly debuted Fire Phone. Called Firefly, this new technology is packaged in an app that can identify up to 100 million objects. For the most part, this feature will integrate with the Amazon marketplace, allowing you to take photos of products and buy them from Amazon, but the technology used to make it run will also be available to developers in an SDK available now… Using Firefly, a button on the side of the Fire Phone will instruct the camera to recognize a phone number, a book, a DVD, a URL, a QR code, and more. Additionally, Firefly will be able to listen for music (like Shazam) and identify a song that’s playing in the ambient noise around you.” Read more

AlchemyAPI Launches Deep Learning API-Based Service, AlchemyVision

Alchemy API

Derrick Harris of GigaOM reports, “Denver-based startup AlchemyAPI is keeping proactive in the world of artificial intelligence, launching on Monday night a new service that lets users perform computer vision tasks such as image-tagging and photo search via API. The product, called AlchemyVision, is the company’s first foray outside the natural-language processing space where it has focused since 2011. It also probably foreshadows a spate of computer vision services yet to come. AlchemyAPI first demonstrated its object recognition service in September but Turner said the company has done a lot of work in the meantime to get it ready for commercial use. Among the big differences is the sheer scale of the new system, which is running unsupervised across millions of online images and using context from the pages they’re housed on in order to determine what they are.” Read more

Internet Giants Competing for Best Image Search, Deep Learning

bing

Derrick Harris of GigaOM recently wrote, “With all the money being spent on, and all the futuristic talk about about big data, machine learning, artificial intelligence and all things in between, it’s easy to forget that Microsoft and Google — two of the companies leading research in these technologies — still have large businesses in web search. So as cool and potentially life-altering as AI might be in fields such as medicine, we’ll probably continue to see the signs of things to come in search engines first. It’s big business and a great testing ground. Take, for example, Microsoft Bing’s new predictions feature that tries to predict the outcomes of popular fan-voting show such as The VoiceAmerican Idol and Dancing with the Stars. Bing does this by analyzing a number of signals, including searches, Twitter and Facebook data, and, presumably the outcomes of previous episodes.” Read more

DataArt Announces ORANGE – the Missing Piece in Nutrition Tracking

dataart

NEW YORK–(BUSINESS WIRE)–DataArt, a leading custom software development company that builds advanced solutions for select industries, today announced the first results of DataArt ORANGE, a series of research and development projects that aim to automate the tracking of users’ nutrition habits. The DataArt ORANGE program automatically tracks calorie information by scanning photographs of food. DataArt ORANGE technology can currently recognize over 100 foods with an 85% success rate. Read more

Image Search for the Perfect Pair of Shoes

find_shoes_main

According to a new article out of Mobile Marketing and Technology, there has been a breakthrough in the area of image search. The author states, “British company Cortexica has developed the first software in the world that will help consumers to purchase the perfect pair of shoes. Launching on March 19th, ‘FindSimilar™ for Shoes’ takes a photo of any sort of footwear and then analyses it against a database of images.  Working like a ‘visual search engine’ it displays a range of shoes with similar characteristics such as shape, colour and design and allows the consumer to choose from a tailored selection.  The technology works by mimicking the way the brain processes images and finds similarities.” Read more

Pinterest’s Acquisition of VisualGraph Could Lead to Monetization

Pinterest

Faith Merino of Vator.tv reports, “Pinterest may have just gotten one step closer to monetizing. The company has confirmed its acquisition of visual search technology company VisualGraph, which could result in A) a stronger commerce angle, or B) ultra targeted ads. Or both! The two-man company was founded by Kevin Jing, who formerly worked on Google’s image search technology. VisualGraph was specifically designed to be applied to commerce and ‘visual shopping,’ so it seems likely that that’s how Pinterest will integrate the technology. And Pinterest is definitely raising money like a commerce company. The startup recently raised a massive $225 million round just last October, bringing its total raised to more than $550 million since 2010.” Read more

NEXT PAGE >>