Financial markets are governed by a combination of rational and irrational forces, statistical probabilities and “animal spirits.” It takes fluency in both to understand the market, let alone beat it. Yet market actors, including asset traders, now frequently use machine-learning techniques to help generate predictions of future asset prices.
Source: Science – Space – phys
Researchers from The Grainger College of Engineering at the University of Illinois Urbana-Champaign have developed the first magnetic multipole-based micromagnetic model for antiferromagnets. Published in Applied Physics Reviews, their generalized framework provides a theoretical and computational foundation for designing future…
Researchers from the University of Amsterdam and the University of New South Wales have answered a question that has been around for decades: whether ions of the metal ytterbium can enter certain long-lived, nearly stable states and, if so, for…
This composite of images taken by NASA’s Psyche mission shows the crescent of Mars grow as the spacecraft approached the planet for a gravity assist from May 2 to May 15, 2026. Because Psyche approached Mars from a high phase…
