Advancing semiconductor devices for AI: Single transistor acts like neuron and synapse

Redefining the transistor: The ideal building block for artificial intelligence

SINGAPORE, March 28, 2025 /PRNewswire/ -- The team led by Associate Professor Mario Lanza from the Department of Materials Science and Engineering in the College of Design and Engineering at the National University of Singapore, has just revolutionised the field…

Synaptic and neural behaviours in a standard silicon transistor

Hardware implementations of artificial neural networks (ANNs)—the most advanced of which are made of millions of electronic neurons interconnected by hundreds of millions of electronic synapses—have achieved higher energy efficiency than classical computers in some small-scale data-intensive computing tasks1. State-of-the-art neuromorphic computers, such as Intel’s Loihi2 or IBM’s NorthPole3, implement ANNs using bio-inspired neuron- and synapse…

Advancing semiconductor devices for AI: Single transistor acts like neuron and synapse

Researchers from the National University of Singapore (NUS) have demonstrated that a single, standard silicon transistor, the fundamental building block of microchips used in computers, smartphones and almost every electronic ...

Scalable And Energy Efficient Solution for Hardware-Based ANNs (KAUST, NUS)

A new technical paper titled “Synaptic and neural behaviours in a standard silicon transistor” was published by researchers at KAUST and National University of Singapore. Abstract “Hardware implementations of artificial neural networks (ANNs)—the most advanced of which are made of millions of electronic neurons interconnected by hundreds of millions of electronic synapses—have achieved higher energy efficiency than classical computers in some sm…

News from HD Technology. Visit www.hd-tecnologia.com for the latest news. A group of researchers from Saudi Arabia and Singapore has developed a system in which two transistors can behave like a human neuron, which could revolutionize chip design and improve energy efficiency in artificial intelligence training. This breakthrough opens the door to new architectures inspired by the human brain, just as the technological sector begins to clash wit…

Single Transistor Breakthrough Mimics Neural And Synaptic Behaviors, Revolutionizing Brain-Inspired AI Computing

NUS researchers demonstrate a single silicon transistor can mimic neural and synaptic behaviors, advancing scalable, energy-efficient brain-inspired computing with standard CMOS technology.