Michael Morisy writes for BetaBoston about an algorithm developed by MIT researchers that can recreate speech by analyzing material vibrations. “The sound re-creation technique typically required cameras shooting at thousands of frames per second,” writes Morisy.
“They've created an app which recasts mediocre headshots in the styles of famous portrait photographers like Richard Avedon and Diane Arbus- and in the process reveals how subtle shifts in lighting can completely change the way we perceive a face,” writes Boston Globe reporter Kevin Hartnett.
Writing for Wired, Olivia Solon describes a new algorithm that can identify human action in video. “The activity-recognising algorithm is faster than previous versions and is able to make good guesses at partially completed actions, meaning it can handle streaming video,” Solon writes.
MIT researchers have helped to produce an algorithm that applies professional photograph editing to self-portraits, writes Billy Steele for Engadget. The software uses existing works to make a match with the captured image, explains grad student YiChang Shih.
In a video for BBC News, Spencer Kelly reports on how, “A researcher at Massachusetts Institute of Technology (MIT) has developed an algorithm which he says can predict how popular a photograph will be when it is posted online.”
Jon Gold reports on how MIT researchers have developed an algorithm that can identify human activity from video input. “The researchers drew on natural language processing techniques,” Gold writes, “to create a 'grammar' for each action they wanted the system to recognize.”
“A team of scientists from MIT’s Computer Science and Artificial Intelligence Lab, eBay Research Labs, and DigitalGlobe—led by MIT doctoral candidate Aditya Khosla—wrote an algorithm that’s intended to predict just how popular a photo you post will be,” writes TIME’s Bijan Stephen of a new algorithm that predicts the popularity of photographs.
Huffington Post reporter Bianca Bosker writes about a new algorithm developed by MIT graduate student Aditya Khosla that can predict how popular a photograph will be.