Scientists have developed a new kind of laser-based artificial neuron that mimics a biological nerve cell. This artificial neuron could boost high-speed computing and artificial intelligence (AI), ...

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 ...

Researchers at the USC Viterbi School of Engineering and the School of Advanced Computing have built artificial neurons that physically replicate the electrochemical behavior of real brain cells. The ...

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, ...

Some scientists are wondering if we could mimic the energy-efficient processes of the human brain to improve AI systems. A new study successfully used an aerosol jet printer to create artificial ...

Most people wouldn’t give Geobacter sulfurreducens a second look. The bacteria was first discovered in a ditch in rural Oklahoma. But the lowly microbe has a superpower. It grows protein nanotubes ...

For decades, scientists have tried to build electronics that behave like the brain. The idea is called neuromorphic computing in which chips are designed to copy the way our brain’s neurons fire and ...

(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 ...

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 ...

Artificial spiking neuron devices, which mimic the way biological neurons process and transmit information, are of use in the development of brain–machine interfaces. However, current artificial ...

Neuromorphic systems, inspired by nature, are sought to efficiently process analogue inputs in real and complex environments. This could lead to ultralow-power in-sensor intelligent edge computers.