Neuromorphic AI hardware encompasses brain-inspired computing systems that implement neural network primitives directly in physical substrates to achieve extreme energy efficiency and low latency. Architectures use devices such as memristors, magnetic tunnel junctions, electrochemical memories, photonic and microwave components, and organic or superconducting neurons to realize synapses, neurons, and compute-in-memory operations. These platforms support spiking and analog neural computation, on-chip learning, and specialized sensory and cognitive functions, targeting applications from edge intelligence and autonomous systems to large-scale AI acceleration and brain–computer interfaces.
Hardware
Researchers at the National University of Singapore (NUS) have fabricated ultra-thin memtransistor arrays from two-dimensional (2D) transition metal dichalcogenide (TMDC) with controllable Schottky barriers. These arrays ...
Nov 5, 2025
0
38
Engineering
After years of trying, the electronic nose is finally making major progress in sensing smells, almost as well as its human counterpart. That is the conclusion of a scientific review into the development of neuromorphic olfactory ...
Energy & Green Tech
Artificial intelligence (AI) could soon become more energy-efficient and faster, thanks to a new approach developed at the University of Surrey that takes direct inspiration from biological neural networks of the human brain.
Oct 30, 2025
0
50
Hi Tech & Innovation
Researchers from The University of Osaka's Institute of Scientific and Industrial Research (SANKEN) have successfully developed a "self-evolving" edge AI technology that enables real-time learning and forecasting capabilities ...
Oct 30, 2025
0
61
Hardware
Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that map math variables, instead of representing information using abstraction with discrete binary values ...
Electronics & Semiconductors
Researchers at the USC Viterbi School of Engineering and School of Advanced Computing have developed artificial neurons that replicate the complex electrochemical behavior of biological brain cells.
Oct 29, 2025
0
101
Hardware
Could computers ever learn more like humans do, without relying on artificial intelligence (AI) systems that must undergo extremely expensive training?
Oct 29, 2025
0
170
Hardware
To make accurate predictions and reliably complete desired tasks, most artificial intelligence (AI) systems need to rapidly analyze large amounts of data. This currently entails the transfer of data between processing and ...
Hardware
Over the past decades, electronics engineers have developed a wide range of memory devices that can safely and efficiently store increasing amounts of data. However, the different types of devices developed to date come with ...
Hardware
A research team has developed a neuron device that holds potential for application in large-scale, high-speed superconductive neural network circuits. The device operates at high speeds with ultra-low-power consumption and ...
Oct 17, 2025
0
40
