Snow leopards, leopards and wolves in the Himalayas coexist in the same space by choosing different prey, per new study examining the lives of these apex predators

A new study published in Big Earth Data proposes an AI cube framework that integrates GeoAI models into geospatial data cube infrastructures to enhance large-scale Earth Observation data analytics. By introducing a model warehouse, intelligent model selection, and parallel inference pipelines on the Open Geospatial Engine platform, the approach significantly improves analytical capability and reduces inference time by over 80%. The framework advances the transition from traditional data cube processing toward AI-ready spatial data infrastructures.

Scientists analysing data from the Cassini-Huygens mission have uncovered a significant structural surprise in Saturn’s protective magnetic bubble.

Researchers say this discovery confirms that giant planets operate under a different magnetospheric regime from the Earth’s.

The study in Nature Communications includes Dr Licia Ray and Dr Sarah Badman from Lancaster University with Dr Chris Arridge, formerly of Lancaster. 

Reading Weather and Climate since 1831, by Dr Stephen Burt, combines vivid historical accounts and contemporary photography from the past 200 years. 

Saturn's magnetic shield is asymmetrical compared to Earth’s, suggests a new study involving University College London (UCL) researchers, and this is likely a result of its fast rotation coupled with the heavy material it pulls around it.

Researchers have developed a nanostructured optical platform that converts surface-bound light into free-space beams with controlled orbital angular momentum. The system combines a dielectric multilayer that supports low-loss Bloch surface waves with a chiral metasurface made of gold nanorods. When surface waves are excited, the metasurface diffracts them into twisted light beams with a well-defined polarization, achieving more than 74 percent polarization selectivity. The results demonstrate a low-loss route to generating structured light and could support future integration with nanoscale and single-photon light sources.

IITGN researchers have proposed the concept of virtual actuation space (VAS) for Tendon-driven Continuum Robots (TDCRs). This framework can handle multiple sections of a robot with ease, significantly reduce computational demands and improve tracking precision. The scalability of this method can unlock potential in applications, such as minimally invasive surgical procedures, industrial automation, and confined-space inspections, like in aircraft engines.