AI listens to insect body signals to guide cyborg cockroaches
Peer-Reviewed Publication
Updates every hour. Last Updated: 27-May-2026 23:16 ET (28-May-2026 03:16 GMT/UTC)
Researchers from The University of Osaka and collaborators proposed the Insect Synergy Circuit (ISC), a new concept for bio-hybrid control that uses AI to interpret internal biological signals from insects. By integrating heartbeat, neural signal features, and body movement data, the team developed a cyborg cockroach system that can estimate environment-associated internal states and guide movement while reducing unnecessary stimulation.
While virtual-reality path integration (VR-PI) may reveal subtle changes that precede the onset of clinical cognitive symptoms, the association between PI performance and structural brain changes remains unclear. Now, researchers have demonstrated that poor PI performance is linked to accelerated cortical thinning in several brain regions and is tied to key blood biomarkers of neurodegeneration. The findings suggest that VR navigation tasks may offer a non-invasive approach for early detection of neurodegenerative diseases.
Flaky tests—automated checks that produce inconsistent results—are a persistent issue in software development, wasting time and computational resources. Researchers from Kyushu University analyzed 649 projects in the OpenStack ecosystem and found that over half were affected by flakiness that often spreads across projects. They identified cross-project flakiness caused by an unstable test affecting multiple projects and inconsistent flakiness as key phenomena.
Astronomers using the James Webb Space Telescope observed a large group of galaxies which had been discovered in the early Universe by the Subaru Telescope. The observations show that even as early as 1.2 billion years after the birth of the Universe, the local environment was already influencing galaxy growth. These results provide new insights into the development of galaxies throughout the history of the Universe.