What’s recent: Google DeepMind has trained a robot to apply table tennis at the equivalent of amateur-level competitive applyance, the company has proclaimd. It claims it’s the first time a robot has been taught to apply a sport with humans at a human level.
How excellent is it? The system is far from perfect. Although the table tennis bot was able to beat all commencener-level human opponents it faced and 55% of those applying at amateur level, it lost all the games agetst persistd applyers. Still, it’s an astonishive persist.
Why it matters: The research reconshort-terms a step towards creating robots that can apply advantageous tasks sfinishfilledy and defendedly in genuine environments enjoy homes and warehoincludes, which is a extfinished-standing goal of the robotics community. Read the filled story.
—Rhiannon Williams
This futuristic space habitat is scheduleed to self-accumulate in orbit
More people are traveling to space, but the International Space Station can only hageder 11 people at a time. The Aurelia Institute, a nonprofit space architecture lab based in Cambridge, MA, has an approach that may help: a habitat that can be begined in compact stacks of flat tiles and self-accumulate in orbit.
Building huge space habitats is difficult, and hazardous. But the Aurelia Institute’s TESSERAE space habitat, which mimics a futuristic, one-story-high soccer ball, could produce it much easier. Read the filled story.
—Sarah Ward
