Halo Braid, a machine learning–powered braiding device by Harvard alumna Yinka Ogunbiyi, won Harvard Business School’s ...
When we think about machine learning, our minds often jump to datacenters full of sweating, overheating GPUs. However, lighter-weight hardware can also be used to these ends, as demonstrated by ...
Tech Xplore on MSN
Flexible mapping technique can help search-and-rescue robots navigate unpredictable environments
A robot searching for workers trapped in a partially collapsed mine shaft must rapidly generate a map of the scene and ...
If you are interested in learning more about training robots using machine learning techniques and technologies you might be interested in a new Arduino project to ascertain whether a basic ...
AgiBot is using AI-powered robots to do new manufacturing tasks. Smarter machines may transform physical labor in China.
Picture a robot capable of changing its shape on demand, squishing, bending, or stretching to perform various tasks like navigating tight spaces or retrieving objects. While this may sound like ...
Mashable SEA on MSN
What is Moravec's Paradox? The theory that explains why robots suck at doing laundry.
Posed by robotics researcher Hans Moravec in 1988, Moravec's Paradox states that tasks that are simple for humans are ...
A robot, trained for the first time by watching videos of seasoned surgeons, executed the same surgical procedures as skillfully as the human doctors. The successful use of imitation learning to ...
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