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 ...

Optoelectronic devices developed at KAUST that behave as either synapses or neurons, and adapt and reconfigure their response to light, could find use in optical neuromorphic information processing ...

So-called neuromorphic computing involves the use of physical artificial neurons to do computing in a way that is inspired by the human brain. With photonic neuromorphic computing these artificial ...

Researchers from Korea Advanced Institute of Science and Technology (KAIST) developed a frequency switching neuristor device that mimics the intrinsic plasticity of neurons. The device can ...

In the future, a new type of computer may be able to learn much like you do—by experience rather than endless repetition or instruction. Researchers at the University of Texas at Dallas, along with ...

TL;DR: Scientists at the National University of Singapore have developed a silicon transistor that mimics biological neurons and synapses, offering a scalable and energy-efficient solution for ...

It’s estimated it can take an AI model over 6,000 joules of energy to generate a single text response. By comparison, your brain needs just 20 joules every second to keep you alive and cognitive. That ...

Engineers in China unveiled a new generation of brain-like computer that mimics the workings of a macaque monkey’s brain. Called Darwin Monkey, the system reportedly supports over 2 billion spiking ...

What are spiking neural networks (SNNs)? Why neuromorphic computing is important. How BrainChip’s Akida platform brings neuromorphic computing to embedded applications. Artificial intelligence and ...

The growing energy use of AI has gotten a lot of people working on ways to make it less power hungry. One option is to develop processors that are a better match to the sort of computational needs of ...