AI framework aids target discovery for CAR T cell therapy
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Updates every hour. Last Updated: 30-Oct-2026 17:16 ET (30-Oct-2026 21:16 GMT/UTC)
A University of Michigan Engineering-led team is a contender for a $55 million center charged with demonstrating quantum technologies that work in the real world.
Every mechanical assembly produces acoustic emissions. Cranks, bearings, switches and far more make noise — the kind that can be heard and the kind that advanced technology can detect to determine the health of the mechanism. One area where this acoustic emission technology has not kept up, though, is for journal bearings: the support for rotating shafts in various machines, including transmission engines. Journal bearings depend on a film of oil surrounding the shaft to maintain operation. Should the oil become contaminated or some other mechanical failure occur, the entire mechanism can be at risk. Researchers have studied acoustic emissions for detecting mechanical failure since the 1950s and specifically for journal bearings since 1985. Now, an international team has pulled together the latest in the field to better understand how far it has come and what direction it should go.
Photodetectors require complex evaporation-based fabrication processes and exhibit relatively high dark currents and noise levels under operation. Besides, system size, cost, and the mismatch in responsivity between different types of photodetectors hinder further commercial application. Now, researchers from Dalian Minzu University have proposed the construction of a perovskite/In0.53Ga0.47As thin-film heterojunction, thereby realizing broadband photodetectors covering the deep-ultraviolet to short-wavelength infrared range.
A new AI model designed to optimise race strategy in Formula One (F1) could help teams gain a competitive advantage.