A combination of cosmic processes shapes the formation of one of the most common types of planets outside of our solar system, according to a new study led by researchers at Penn State.

Researchers from Science Tokyo have discovered that bacterial swarms transition from stable vortices to chaotic turbulence through distinct intermediate states. Combining experiments with bacterial swarms, computer simulations, and mathematical modeling, the team clarified the intricate process by which orderly swirling turns to disordered turbulence as the free space available to bacteria increases. These findings provide new insights into active matter physics and could inform future applications in micro-robotics, biosensing, and active fluid-based micro-scale systems.

An Osaka Metropolitan University-led research team has developed a deep learning model that uses AI image recognition to efficiently and accurately detect bubble-like structures in the universe, including many previously unlisted in astronomical databases.

A team of researchers from Huazhong University of Science and Technology has systematically reviewed the key scientific technologies of construction robots in extreme environments, summarized the research advancements, and discussed future research directions. The research article detailing these innovations, titled "Construction Robotics in Extreme Environments: From Earth to Space," has been published in the prestigious journal Engineering.

WASHINGTON, D.C. — The U.S. Naval Research Laboratory (NRL), in partnership with NASA’s Marshall Space Flight Center (MSFC), has developed StarBurst, a small satellite (SmallSat) instrument for NASA's StarBurst Multimessenger Pioneer mission, which will detect the emission of short gamma-ray bursts (GRBs), a key electromagnetic (EM) signature that will contribute to the understanding of neutron star (NS) mergers.