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The "black box" of artificial intelligence has been examined by a team at Los Alamos National Laboratory to create a novel method for comparing neural networks that will aid researchers in understanding neural network activity. In applications like virtual assistants, facial recognition technology, and self-driving cars, neural networks are used to identify patterns in datasets. Haydn Jones, a researcher in the Advanced Research in Cyber Systems group at Los Alamos, stated that the artificial intelligence research community "doesn't necessarily have a thorough knowledge of what neural networks are doing; they give us good outcomes, but we don't know how or why." "Our new approach performs a better job of comparing neural networks, which is key toward better understanding the mathematics behind AI," says the author. The study "If You've Trained One You've Trained Them All: Inter-Architecture Similarity Increases With Robustness," w...

A method for making remote controlled cyborg cockroaches has been developed by an international team lead by scientists at the RIKEN Cluster for Pioneering Research (CPR). The system includes a tiny wireless control module that is powered by a rechargeable battery coupled to a solar cell. Despite the mechanical gadgets, the insects may move freely thanks to flexible materials and ultrathin electronics. These developments, which were published on September 5 in the academic journal npj Flexible Electronics, will contribute to the widespread use of artificial insects. In order to aid check dangerous regions or monitor the environment, scientists have been attempting to create cyborg insects, which are partially insects and partially machines. The ability to control cyborg insects remotely for extended periods of time is necessary for their use to be viable, though. This necessitates cordless, rechargeable battery-powered control of their leg segments. Nobody wants a team of robotic cock...