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 ...

Scientists maximize the efficiency of hafnia-based ferroelectric memory devices. A research team led by Professor Jang-Sik Lee from the Department of Materials Science and Engineering and the ...

The rapid advancement of artificial intelligence (AI) is driving unprecedented demand for high-performance memory solutions. AI-driven applications are fueling significant year-over-year growth in ...

A new technical paper titled “Analog monolayer SWCNTs-based memristive 2D structure for energy-efficient deep learning in spiking neural networks” was published by researchers at Delft University of ...

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 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 ...