An agentic AI tool for battery researchers harnesses data from previous battery designs to predict the cycle life of new battery concepts. With information from just 50 cycles, the tool—developed at University of Michigan Engineering—can predict how many charge-discharge cycles the battery can undergo before its capacity drops below 90 percent of its design capacity.

A new report has set out how the UK might respond to major disruptions to food supplies triggered by events such as war, extreme weather or cyber-attacks – and what can be done now to prevent such disruptions from escalating into a crisis.

Involving 39 experts from institutions including Anglia Ruskin University (ARU) and the University of York, the study maps how shocks to the food system, such as sudden price hikes or food shortages, could intensify pressure on already vulnerable parts of the system, ultimately increasing strain, instability and the risk of social unrest.