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Amazon quietly acquired a Californian AI startup that can tell what's in your photos
Back in Autumn 2015, Amazon quietly acquired a Californian artificial intelligence startup that specialises in photo-recognition technology, according to a new report from Bloomberg. The publication bases its story on an unidentified source "familiar with the matter" -- as well as the fact the startup's website is now owned by an Amazon subsidiary. If you visit the website of Orbeus -- the company Amazon has apparently acquired -- now, you're greeted by by a short message saying it "is no longer taking new customers. Thank you very much for your interest and support. But last year, its website boasted that its "revolutionary image recognition technology helps computers to see like human beings."
Watch IBM's Watson-powered robot bust a move -- and sing
IBM's Watson just gave doing the robot a whole new twist. While dancing has never been a forte of machines, IBM's artificial intelligence system is proving that robots really can have fun (even if it has to be programmed in). In a demo presented during Nvidia's GTU technology conference, IBM Watson's chief technology officer, Rob High, showed off a concierge robot named Watson Nao, whose many talents include singing and dancing -- all in an attempt to humanize these humanoids. The multi-lingual robot is powered by IBM Watson, and the AI has come a long way since winning Jeopardy back in 2011. Now, Watson is on a mission to show that it's more than just a super impressive brain -- it's kinda like you and me, too!
Machine Learning for Recommender Systems ebook – SROY
Learn Amazon's recommendation technique and enhance your sales. Learn a new Machine Learning or Data Scientist skill and boost your Resume. Show the appropriate video to people visiting your website and hook them. Learn which news or blog post to display to your website's visitors. Learn how to choose the best technique for a certain recommendation task.
Microsoft Releases Open Source Deep Learning Toolkit on GitHub
Microsoft is releasing its Computational Network Toolkit (CNTK) on GitHub, making the very efficient AI tools used by its own researchers available to the broad developer and data science community. Xuedong Huang, Microsoft's Chief Speech Scientist, and his team were anxious to make faster improvements to how well computers can understand speech, and the tools they had to work with were slowing them down. So, a group of volunteers set out to solve this problem using a homegrown solution that stressed performance over all else. CNTK is the outcome of that project, and has proved more efficient than other popular computational toolkits used by developers to create deep learning models for speech and image recognition. Microsoft is internally using CNTK on a set of powerful computers that use graphics processing units, or GPUs.
Top 3 Algorithms in Plain English - Dataconomy
In order to do this, C4.5 is given a set of data representing things that are already classified. A classifier is a tool in data mining that takes a bunch of data representing things we want to classify and attempts to predict which class the new data belongs to. Sure, suppose a dataset contains a bunch of patients. We know various things about each patient like age, pulse, blood pressure, VO2max, family history, etc. Now: Given these attributes, we want to predict whether the patient will get cancer. The patient can fall into 1 of 2 classes: will get cancer or won't get cancer.
Architecting a Machine Learning System for Risk -- Airbnb Engineering & Data Science
At Airbnb, we want to build the world's most trusted community. Guests trust Airbnb to connect them with world-class hosts for unique and memorable travel experiences. Airbnb hosts trust that guests will treat their home with the same care and respect that they would their own. The Airbnb review system helps users find community members who earn this trust through positive interactions with others, and the ecosystem as a whole prospers. The overwhelming majority of web users act in good faith, but unfortunately, there exists a small number of bad actors who attempt to profit by defrauding websites and their communities.
Alibaba's 'Ai' Predicts Winners of China's Hit TV Show 'I Am a Singer'
Forget artificial intelligence for board games. Alibaba Group Holding Ltd. used artificial intelligence to predict the winner of a popular Chinese reality TV singing competition – and got the winner and finalists all correct. On Friday night, the cloud-computing arm of Alibaba, Aliyun -- or Alibaba Cloud -- used "Ai," its artificial intelligence program, during the four-hour finale of Hunan TV's "I Am a Singer." The program worked to choose winners as the audience of 500 people who served as judges independently deliberated. The Ai predictions were featured live during the finale.