Stanford University researchers have developed a synchronous computer that operates using the physics of moving water droplets with the goal to build a completely new class of computers that can precisely control and manipulate physical matter. Every water droplet moves exactly one step forward with each cycle with its presence and absence representing the 1s and 0s of binary code, and the clock makes sure all of the droplets move in synchrony, allowing the system to run virtually forever without any errors.
Experts are trying to make machines to be moral. This would involve having the robot use a form of machine learning to "learn" moral behavior, possibly by observing human media. Moral issues will also start to crop up around how people perceive machines as they become more and more human-like.
WebAssembly is a joint project among Microsoft, Google, Mozilla, and Apple to create a new internet platform that combines the reach of the Web with the speed of software written to run natively on specific operating systems. WebAssembly, which is the result of the unification of Mozilla's Firefox team and Google's Chrome team, could result in the ability to browse the Web much faster, as well as providing a smoother experience when loading Web apps.
New software can bring a sense of humor to online chat. Called CAHOOTS, the system suggests humorous pictures to use when chatting online. The system is designed to use text typed into a chat window to search for images and constantly provide an updated selection from which to choose. The team tested CAHOOTS on more than 700 recruits from Amazon's Mechanical Turk crowdsourced working platform, and found most thought using the system was more fun than plain chat and that it helped them express their sense of humor.
Georgia Institute of Technology researchers have developed a computing system that views video game play on streaming services, analyzes the footage, and then creates original new sections of a game. The system focuses on the gaming terrain and the positioning between elements on-screen, and determines the required relationship or level design rule.The algorithms identify high-interaction areas, and the automatic-level designer targets these areas to gain design information, enabling the system to build a new level section, element by element.
Imperial College London researchers have developed software that can improve the reliability of pictures taken by a microscope camera by determining the exact properties of each individual pixel, based on a statistical analysis of thousands of images, and then adjusting the data captured by each pixel accordingly. This technique improves the fine details of the whole picture, making it much more reliable.
Facebook has developed an experimental algorithm that recognizes people in photographs even when their faces are hidden. A face-recognition algorithm has been adapted to look for unique characteristics such as clothing, hairstyle, body shape, and pose, which is what humans do very well, according to Facebook's Yann LeCun. The algorithm recognized individual people's identities with 83-percent accuracy.