New research suggests that dark matter may once again hold the key to one of astronomy’s enduring mysteries: the excess of gamma rays shining from the Milky Way’s center. By modeling the galaxy’s early history and violent mergers, the team found that dark matter in the core may be shaped far differently than previously assumed, potentially matching the puzzling radiation pattern first detected by NASA’s Fermi telescope. The findings revive dark matter as a serious contender for explaining the Milky Way’s enigmatic central glow.

A team of researchers at the University of Jyväskylä has developed and tested a new virtual reality (VR) training task designed to help stroke survivors living with visuospatial neglect (VSN), a disabling condition that affects attention and awareness of one side of space. The exploratory case study is among the first to integrate audiovisual cues within a physiotherapy-based VR task to support rehabilitation.

Abstract

A team of scientists from  School of Physics and Astronomy at Queen Mary University of London has developed a novel artificial intelligence method that could revolutionize our understanding of the universe's most mysterious shapes. Using advanced machine learning, researchers can now explore complex geometric spaces, like the fabric of spacetime itself, without relying on traditional symmetry assumptions.

This new algorithm, called AInstein, tackles one of the most complex puzzles in physics and mathematics: finding the precise shape of space under Einstein field equations. Remarkably, it can do so on spaces as intricate as higher-dimensional spheres, opening new avenues for discovery and shedding light on our understanding of the universe.