AI spots hidden behavior patterns in self-organizing bacteria
Peer-Reviewed Publication
Updates every hour. Last Updated: 8-Jun-2026 15:16 ET (8-Jun-2026 19:16 GMT/UTC)
A custom-built artificial intelligence system developed by Rice researchers helped uncover how bacterial communities self-organize.
Harvard SEAS researchers show mathematically that when many robots share a space, adding a certain amount of randomness in their paths improves their efficiency.
Urban emissions of methane—a potent greenhouse gas—are rising faster than "bottom-up" accounting estimates anticipated, according to a study led by University of Michigan Engineering and funded by NASA and the National Institute of Standards and Technology.
Check out this new research in Engineering! It introduces an adaptive edge-cloud collaboration method for intelligent machine tools, tackling large-scale computational tasks with complex data links. The method cuts task processing time, boosts energy efficiency and keeps data secure, with solid real-world validation on digital twin machining centers—great for next-gen smart manufacturing!
A problem in quantum computing called “quantum scrambling” hampers the technology’s development. Scrambling results in the loss of data in a quantum computing system, an issue previously thought to be irreversible. A UC Irvine team has discovered a way to reverse the scrambling process.