Neuromorphic computing, inspired by the brain, integrates memory and processing to drastically reduce power consumption compared to traditional CPUs and GPUs, making AI at the network edge more ...

Principal Investigator Maryam Parsa, Assistant Professor of Electrical and Computer Engineering, College of Engineering and Computing (CEC), and co-Principal Investigator Giorgio Ascoli, Distinguished ...

A human’s way of processing information can be used as a model to train next-generation artificial intelligence (AI) systems, according to research published Jan. 22 in Nature. Cory Merkel, an ...

Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and IoT through spiking neural networks and next-gen processors. Pixabay, ...

Our data-driven world demands more—more capacity, more efficiency, more computing power. To meet society’s insatiable need for electronic speed, physicists have been pushing the burgeoning field of ...

Our latest and most advanced technologies — from AI to Industrial IoT, advanced robotics, and self-driving cars — share serious problems: massive energy consumption, limited on-edge capabilities, ...

Scientists transform wasted spin loss into usable energy, powering a new principle for magnetic control and next-gen ultra-low power devices. Spintronics is a technology that utilizes the "spin" ...

(Nanowerk News) Our data-driven world demands more—more capacity, more efficiency, more computing power. To meet society’s insatiable need for electronic speed, physicists have been pushing the ...