By 2016, Skybox Imaging will use six satellites to capture daily images of the Earth. By 2018, the company plans to launch 24 satellites, imaging the entire planet with exceptional resolution. Google’s acquisition of Skybox for $500 million will allow the Internet company to use these satellites to provide faster online access to high-quality images. The deal, in the long run, is also expected to improve Internet access and assist with disaster relief. It could also collect new levels of information on people and companies. Continue reading Google’s Skybox Purchase is About More Than Satellite Images

The following is on the schedule for the Federal Communications Commission: whether to approve or block AT&T’s newly announced $49 billion acquisition of DirecTV, whether to allow Comcast’s proposed $45 billion purchase of Time Warner Cable, establish rules for next year’s auction of TV airwaves to wireless carriers, and determine whether and/or how to regulate the way broadband providers treat traffic over networks (and possibly face a busier calendar if Sprint makes a bid for T-Mobile). Continue reading FCC Faces Busy Year of Acquisitions, Auctions and Regulation

Biz Stone has an impressive track record with helping launch various social products, including Xanga, Blogger, Twitter and Medium. Stone’s most recent undertaking is Jelly, a question-and-answer app though which users can ask their social media friends — and friends of friends — questions about anything, using text and images. While the app has the potential to change the makeup of Internet searches, some critics have been skeptical of the need for what essentially serves as a mash-up between Quora and Instagram. Continue reading Biz Stone Aims to Revolutionize Social Search with Jelly App

The Never Ending Image Learner (NEIL), a computer program at Carnegie Mellon, searches the Web for images and tries to understand them in order to grow a visual database and gather common sense. This program is part of recent advances in computer vision where computer programs are able to identify and label objects in images, as well as recognize attributes such as color and lighting. This data will help computers comprehend the visual world. Continue reading Carnegie Mellon Computer Can Teach Itself Common Sense