A new study led by postdoctoral researchers Stefano Ippolito and Francesca Urban at Drexel University has uncovered a surprising thermal behavior in a lesser-studied variant of MXene, a class of ...

The evolution of DDR5 and DDR6 represents a inflexion point in AI system architecture, delivering enhanced memory bandwidth, lower latency, and greater scalability.

Artificial Intelligence (AI) and Machine Learning (ML) applications are driving increased demand for high-performance, low-power memory solutions across consumer, medical, and industrial markets.

Computer memory could one day withstand the blazing temperatures in fusion reactors, jet engines, geothermal wells and sweltering planets using a new solid-state memory device developed by a team of ...

Neuromorphic computing aims to replicate the functional architecture of the human brain by integrating electronic components that mimic synaptic and neuronal behaviours. Central to this endeavour are ...

It is anticipated that within just a few decades, the surging volume of digital data will constitute one of the world's largest energy consumers. Now, researchers at Chalmers University of Technology, ...

Researchers develop atom-thin material that cuts memory energy use tenfold, opening the door to ultra-efficient AI, mobile tech and data processing. (Nanowerk News) Memory units are essential ...

A research team led by Professor Jang-Sik Lee from the Department of Materials Science and Engineering and the Department of Semiconductor Engineering at Pohang University of Science and Technology ...

A new study reveals that insulating buffer layers are no longer needed for ultrathin magnetic racetrack devices, unlocking new paths for seamless integration with functional substrates. Modern ...

(Nanowerk Spotlight) The human brain processes complex information while consuming merely the power of a dim light bulb. This remarkable efficiency stems from synapses, the connections between brain ...