(Nanowerk News) DGIST announced that a team led by Prof. Jang Kyung-In from the Department of Robotics and Mechatronics ...

An electronic stacking technique could exponentially increase the number of transistors on chips, enabling more efficient AI ...

As part of a high-resolution biosensing device without wires, the antennas could help researchers decode intricate electrical ...

Electron transfer, critical to processes such as cellular respiration and energy harvesting in plants, has long posed ...

With a processing speed a billion times faster than nature, chip-based laser neuron could help advance AI tasks such as ...

The technique provides researchers with a powerful tool for controlling magnetism, and could help in designing faster, ...

A new way of thinking about how swirling magnetic textures and mobile electrons interact could lead to compact, efficient and ...

Researchers developed AI frameworks to identify evidence-driven hypotheses that could advance biologically inspired materials ...

A team of researchers has developed an innovative light-driven hybrid nanoreactor that merges natural efficiency with cutting ...

Researchers have forced light to travel in very different and unusual ways. Using nifty engineered chip-nanostructures, they ...

Scientists have successfully achieved a quantum collective behavior of macroscopic mechanical oscillators, unlocking new ...