To make computers faster and more efficient, scientists are using the brain as a model in this blossoming area of computer science.
Using light to power wireless brain-like computers
An optical device uses light-based signals for computation and communication and is a vital step toward advanced neuromorphic computers.
Computers that mimic memory and learning in the brain
An artificial synapse capable of simultaneously detecting neurotransmitters and light mimics memory and learning processes found in the brain.
“Evolvable” synaptic transistors push the edge of neuromorphic computing
Researchers demonstrate the controlled growth of artificial synapses, paving the way for computers that can grow, evolve, and adapt like the human brain.
Brain connections: neuromorphic devices emulate the brain’s hardware
How the brain’s functional connectivity can be induced in neuromorphic devices to overcome the limitations of conventional silicon technology.
Teaching an Electronic Pavlov’s Dog: Memristive Devices in Neuromorphic Circuits
Researchers demonstrate learning in a memristive device.
Artificial neural networks made from memristors for brain-inspired computing
Artificial neural networks made from domain walls mimic synapses and neurons in the brain for neuromorphic computers.
Artificial synapse created using capacitors
A new approach to in-memory computing proposes a new set up to create an artificial synapse that can both store and process data.
Helping robots think like humans
UCF researchers develop a device that mimics brain cells used for human vision. The invention may help to one day make robots that can think like humans.
Beyond the Horizon of CMOS
For decades the density of integrated circuits has grown exponentially, according to the empirical Moore´s law published in 1965. In this period, the storage density has increased by a factor of about 100 million. Yet, this rapid development is approaching fundamental...