Computer software only recently became smart enough to recognize objects in photographs. Now, Stanford researchers using machine learning have created a system that takes the next step, writing a simple story of what’s happening in any digital image. At the heart of the Stanford system are algorithms that enable the system to improve its accuracy by scanning scene after scene, looking for patterns, then using the accumulation of previously described scenes to extrapolate what is being depicted in the next unknown image.
While the Internet has redefined how individuals and organizations access and share information globally, it also has made them more susceptible to theft of classified and confidential digital information. Most business development and activity occurs online, making information easier to steal and transfer anonymously.
A visitor takes photos with his cellphone outside the Supreme Court in April, when the justices considered whether police may search cellphones during arrests. Cellphones and smartphones generally cannot be searched by police without a warrant during arrests, the Supreme Court ruled unanimously Wednesday in a major clash between privacy and technology. Ruling on two […]