Better -- sensors, cameras, microphones and proprietary algorithms that calculate human emotion according to vocal intonation and facial expressions. Pepper is the result of a collaboration between Japan's SoftBank Mobile and Aldebaran Robotics, which specialises in the kind of touchy-feely humanoids not feted to bring down Earth in Hollywood movies. It's slated to be able to respond to its environment by reading what's going on around it -- including human emotion. It has an array of sensors to help achieve this, including four microphones, two cameras, a 3D sensor and three touch sensors in its head; a gyro sensor in its chest; two touch sensors in its hands; and two sonar sensors, six laser sensors, three "bumper" sensors; and a gyro sensor in its legs.
Justin Gerrard speaks quickly, Brian Gerrard speaks slowly. But their oil-and-water partnership helped them create Bae, a dating app for black people. "If you are a black person, you see Tinder as a white app," says Brian Gerrard. But the idea is to create an app for black people to safely meet people of all races who want to form a genuine connection.
Researchers at Stanford University want to develop a more agile drone--one that's able to avoid crashes and gracefully dodge moving hurdles. In order to do so, they developed an obstacle avoidance system that uses a drone-mounted camera to feed information to a computer, which processes information in real time. And to teach their drone agility and gauge its reaction time, they trained it against a fencer. Popular Science explains that the drone, created by researchers Ross Allen and Marco Pavone of Stanford University's Department of Aeronautics and Astronautics, uses machine learning to improve its abilities.