Researchers leech off the natural world to develop dynamic liquid metal robots for electrical circuits.

Researchers leech off the natural world to develop dynamic liquid metal robots for electrical circuits.
Insights gained from the hard landings of tree-climbing geckos leads to better and controlled perching in robotic aerial vehicles.
A conductive, cellulose-based nanopaper allows researchers to print paper electronics without needing expensive microfabrication techniques.
To help improve the success rates of fertility treatments, scientists are turning to AI to help standardize the sperm selection process.
Scientists hope that a new machine learning algorithm could one day be used to automate the discovery of new physical laws.
A numerical model helps scientists understand how particularities of different terrains affect the trajectory and behavior of dung beetles.
Extra time dimensions provide scientists with a new way to think about phases of matter for more stable qubits and robust quantum computers.
Microrobots dubbed “microwalkers” can both swim and walk, allowing them to transverse challenging biological environments.
Automated molecule design through machine learning helps scientists identify and synthesize a new polymer electrolyte for lithium-ion batteries.
A new smart pillowcase not only tracks sleep but is powered by head movement, providing a more accurate means of monitoring sleep cycles.