Researchers at FORTH have developed a new type of artificial neural network (ANN) that incorporates features of biological ...

Scientists have developed a new kind of laser-based artificial neuron that mimics a biological nerve cell. This artificial ...

Researchers outline a bold strategy to scale neuromorphic computing, aiming to match human brain functionality with minimal ...

Neuromorphic computing is an emerging computing technology inspired by the operational principles of the human brain. By employing neuromorphic devices to emulate neuronal functions and construct ...

Brain-inspired Cognitive Intelligence Engine (BrainCog) is a brain-inspired spiking neural network based platform for Brain-inspired Artificial Intelligence and simulating brains at multiple scales.

Learn More A new neural-network architecture developed by researchers at Google might solve one of the great challenges for large language models (LLMs): extending their memory at inference time ...

It outperformed existing architectures like Transformers and Recurrent Neural Networks (RNNs), which demonstrated its ability to process long sequences more efficiently. On the BABILong benchmark, the ...

The chip, which mimics the human brain's architecture ... The underlying principle is the spiking neural network (SNN) — where a neural network is a collection of machine learning algorithms ...

Similar to other types of neural networks, the performance of SNN is also significantly decided by its architecture. In this paper, we propose an Evolutionary Multi-objective Spiking Neural ...

"In conventional neural networks, the output signals change gradually," says Memmesheimer, who is also a member of the Life and Health Transdisciplinary Research Area. "For example, the output signal ...