Barence writes: "Researchers at two UK universities are trying to use the guidance systems and intelligence inside the brain of a bee to improve artificial intelligence in autonomous flying robots. The AI for autonomous controls has long troubled automation experts, but the scientists believe modelling their systems on brain power found in nature could solve many issues – especially given the rise of parallel computing in graphics processors, which can be repurposed to model brain patterns. PC Pro spoke to lead researcher James Marshall about the research."
Barence writes: Eugenio Culurciello of Yale’s School of Engineering & Applied Science has developed a supercomputer on a chip that he claims has enough power to navigate through busy streets. Dubbed NeuFlow, the system takes its inspiration from the mammalian visual system, mimicking its neural network to quickly interpret the world around it. “One of our first prototypes of this system is already capable of outperforming graphic processors on vision tasks,” Culurciello said. “The complete system is going to be no bigger than a wallet, so it could easily be embedded in cars and other places.” According to the scientists, the system could also be used to improve robot navigation, to provide 360-degree synthetic vision, or in assisted living environments to call for help should an elderly person fall, for example.
Barence writes: A team of football playing robots will be able to play and beat a human team by the 2050 World Cup, according to the German Research Center for Artificial Intelligence, speaking at a robot football demo at CeBIT. They've entered a competition, dubbed Robocup 2050, in which teams from all across the world enter their robotic creations in annual four-a-side football matches. The aim is to encourage development of robots and artificial intelligence so that by 2050 a robotic team can beat a human team in the World Cup. While the task may seem a bit of harmless fun, the team claims it's focusing attention on a number of significant problems in robotics. "There's a lot of AI challenges in sport," said Veit Briten, a researcher with the center. "We need them to sync their AI and work with each other, they need to be able to understand their surroundings and react to them, and set their own goals and work out how to achieve them. If their battery runs low they need to head back to the charging bench."