Researchers find flaws in using source reputation for training automatic misinformation detection algorithms
Researchers at Rutgers University have found a major flaw in the way that algorithms designed to detect “fake news” evaluate the credibility of online news stories.
A team of researchers at Google's DeepMind, London, has found that AI can find faster algorithms to solve matrix multiplication problems. In their paper published in the journal Nature, the group describes using reinforcement learning to improve math-based algorithms. A Research Briefing has also been published in the same journal…
A new system of algorithms enables four-legged robots to walk and run on challenging terrain while avoiding both static and moving obstacles. The work brings researchers a step closer to building robots that can perform search and rescue missions or collect information in places that are too dangerous or difficult for…
Researchers demonstrated a highly dexterous robot hand, one that combines an advanced sense of touch with motor learning algorithms in order to achieve a high level of dexterity. In addition, the hand worked without any external cameras -- it's immune to lighting, occlusion, or similar issues. Because the hand doesn't…