To optimize 3D printing, researchers apply machine learning to minimize waste and optimize structure during the printing process.
Mapping the octopus brain
Understanding how a completely different neural structure achieves the same function as the human brain opens up possibilities for designing new types of AI systems.
Designing “fluid brains” to take the edge off soft robots
Rigid elements are holding soft robots back from their full potential, and new research suggests swapping in fluid-based systems.
Taming plasma instabilities for future nuclear fusion reactors
Optimizing plasma instabilities within a nuclear fusion reactor will pave the way for its use as a clean source of perpetual energy.
Mimicking the brain with single transistor artificial neurons
The power demands of the Internet of Things could be combated with computing systems that mimic biological neurons.
Sensor translates sign language into audio
With the help of machine learning, a skin-like sensor internalizes different stimuli, allowing it to read and interpret hand movement.
Energy generated in the blink of an eye
A tiny battery built into smart contact lenses produces its own power through eye blinking, relying on tears and oxygen to power its cells.
Single photons light up quantum encryption
Exploiting defects in 2D hexagonal boron nitride to create reliable single photons, researchers have upped their quantum encryption game.
A modular, paper-based soft actuator
A three-unit soft actuator brings together ease of fabrication and state-of-the-art design to overcome challenges in robotics.
A bright future for supernovae
Researchers have found that supernovae explosions are preceded by observable radiation whose features should make it possible to distinguish the radiation of a future supernova from other light sources in space.