Using data from the European Space Agency’s Gaia mission, scientists have found a huge exoplanet and a brown dwarf. This is the first time a planet has been uniquely discovered by Gaia’s ability to sense the gravitational tug or ‘wobble’ the planet induces on a star. Both the planet and brown dwarf are orbiting low-mass stars, a scenario thought to be extremely rare. 

A research team from KAIST Nuclear and Quantum Engineering presents an AI assesser for Hall-effect ion thrusters, the engines of satellites and space probes.

A new study has estimated it would cost $15.6 billion per year for 30 years to prevent extinction for 99 of Australia’s priority species. The research, led by Griffith University’s Centre for Planetary Health and Food Security with WWF-Australia and the University of Queensland, highlights the urgent need for increased funding to combat threats such as habitat destruction, invasive species and climate change.

Berger’s project, Insights into the Martian Environment Through Pattern Analysis of Compound Dunes, focuses on studying dune formations on Mars using high-resolution images captured by NASA's orbiting cameras. These “compound dunes”—dunes with smaller dunes layered on top—are well-documented on Earth but remain unexplored on Mars.

A team of Caltech scientists has made the first experimental measurements of laser-induced motions of miniature lightsails in the lab.

The development of vehicle components is a lengthy and therefore very costly process. Researchers at Graz University of Technology (TU Graz) have developed a method that can shorten the development phase of the powertrain of battery electric vehicles by several months. A team led by Martin Hofstetter from the Institute of Automotive Engineering is combining simulation models of components with evolutionary optimisation algorithms. This AI system automatically optimises the entire powertrain – from the power electronics to the electric machine through to the transmission – in line with the manufacturer’s technical requirements, taking into account targets such as production costs, efficiency and package space requirements in the vehicle. The OPED (Optimisation of Electric Drives) software solution was developed at TU Graz and is the result of almost ten years of research. It is already being used successfully by a renowned Austrian automotive supplier.