Shanghai Jiao Tong University researchers have developed a data-driven method to recognize the coordinated intentions of unmanned aerial vehicle (UAV) swarms.

By combining a simplified flight motion model with an artificial neural network, the approach can predict swarm behavior early and accurately—advancing aerial surveillance and autonomous defense systems.

The innovation features of this research are: Treating a UAV swarm as a single intelligent entity and combining the Dubins motion model with an artificial neural network to achieve early and highly accurate intention recognition of coordinated swarm behaviors.

Fresh leafy vegetables such as pakchoi rapidly lose quality after harvest due to leaf yellowing and senescence. This study uncovers the molecular mechanism through which the plant hormone 2,4-epibrassinolide (EBR), a brassinosteroid analog, delays leaf senescence in pakchoi. Researchers identified BrWRKY8, a nucleus-localized transcription factor that promotes leaf aging by activating chlorophyll degradation (BrSGR2) and brassinosteroid degradation (BrCHI2) genes. EBR treatment suppresses BrWRKY8 expression, thereby maintaining chlorophyll and hormone balance, leading to extended postharvest freshness. These findings reveal a critical regulatory pathway linking EBR and BrWRKY8 in delaying leaf senescence.

Tomato improvement through genome editing has long been hindered by the difficulty of generating transgenic plants. Researchers have now developed a virus-induced genome editing (VIGE) platform that enables heritable mutations in tomato (Solanum lycopersicum) without the need for tissue culture. By engineering a tobacco rattle virus (TRV) system carrying mobile guide RNAs derived from the tomato Flowering Locus T (SlFT) gene, and pairing it with a SlUBI10-driven Cas9 expression line, they successfully produced knockout tomato seeds with up to 100% heritability. This innovative system dramatically reduces time and labor costs for tomato gene editing, opening the door to rapid functional studies and breeding applications.

The American Physical Society (APS) – the world’s largest organization of physicists – has awarded the 2026 Aneesur Rahman Prize for Computational Physics to Stefano Baroni, Professor of Condensed Matter Physics at the Scuola Internazionale Superiore di Studi Avanzati (SISSA) and research associate at the Consiglio Nazionale delle Ricerche – Istituto Officina dei Materiali (CNR–IOM). The prize is regarded as the most prestigious international recognition in the field, awarded for outstanding achievements in computational physics.

The official citation recognizes his “seminal contributions to the development of first-principles methods for studying the electronic and thermal properties of condensed systems, and for the development and dissemination of open-source software for electronic-structure calculations, now widely adopted.”

Artificial intelligence (AI) and “protein language” models can speed the design of monoclonal antibodies that prevent or reduce the severity of potentially life-threatening viral infections, according to a multi-institutional study led by researchers at Vanderbilt University Medical Center.

When scientists make the thin metal films used in electronics, optics, and quantum technologies, they usually spend months tinkering with the temperature, composition and timing of the process, hoping to land on just the right recipe. Now, researchers at the University of Chicago Pritzker School of Molecular Engineering (UChicago PME) have built a “self-driving” lab system that does this work on its own, using robotics and artificial intelligence to decide the next best step without waiting for a human.