A team of engineers at the University of Massachusetts Amherst has announced the creation of an artificial neuron with electrical functions that closely mirror those of biological ones. Building on ...

USC researchers built artificial neurons that replicate real brain processes using ion-based diffusive memristors. These devices emulate how neurons use chemicals to transmit and process signals, ...

Scientists have built an artificial neuron that’s so realistic it fires, learns, and responds to chemical signals just like the real thing – a breakthrough that could transform computing, medicine, ...

Built of low-powered protein nanowires, made from bacteria, these neurons open the door to vastly more efficient, bio-inspired computers. (Nanowerk News) A team of engineers at the University of ...

An integrated spiking artificial neuron, with rich neuron functionality, single-transistor footprints, and low energy consumption for neuromorphic computing systems, can be created by stacking one ...

(Nanowerk News) Researchers have developed a laser-based artificial neuron that fully emulates the functions, dynamics and information processing of a biological graded neuron. With a signal ...

Cedars-Sinai investigators worked with a multi-institutional team to develop a new artificial intelligence framework that can accurately, quickly and efficiently create virtual models of brain neurons ...

Shifting focus on a visual scene without moving our eyes—think driving, or reading a room for the reaction to your joke—is a ...

For more than eighty years, deep learning has relied on a simplified model of brain function. The 1943 McCulloch-Pitts model of the neuron fueled breakthroughs in image recognition, speech synthesis ...

Artificially engineered biological processes, such as perception systems, remain an elusive target for organic electronics experts due to the reliance of human senses on an adaptive network of sensory ...

Built of low-powered protein nanowires, made from bacteria, these neurons open the door to vastly more efficient, bio-inspired computers AMHERST, Mass. — A team of engineers at the University of ...