Researchers have developed a new approach to printed electronics which allows ultra-low power electronic devices that could recharge from ambient light or radiofrequency noise.

Extremely energy-efficient artificial intelligence is now closer to reality after a study by UCL researchers found a way to improve the accuracy of a brain-inspired computing system. The system, which uses memristors to create artificial neural networks, is at least 1,000 times more energy efficient than conventional transistor-based AI hardware, but has until now been more prone to error.

The work, which is reported , was carried out in collaboration with the University of Southampton and the Royal Institute of Technology, Sweden.

From capturing your breath to guiding biological cell movements, 3D printing of tiny, transparent conducting fibres could be used to make devices which can 'smell, hear and touch' - making it particularly useful for health monitoring, Internet of Things and biosensing applications.

A new technique that synchronises the clocks of computers in under a billionth of a second can eliminate one of the hurdles for the deployment of all-optical networks, potentially leading to more efficient data centres, according to a new study led by UCL and Microsoft.

InSight's Imperial-designed instrument has revealed that Mars trembles more often, but also more mildly, than expected.