Researchers get spiking neural behavior out of a pair of transistors
Examples like Intel's Loihi chips tend to get competitive performance out of far lower clock speeds and energy use, but they ...
Medindia1d
Neurons to Networks: The Rise of Living Computers
Neuron-inspired processing is used by living computers to create more rapid, smarter, and more environmentally friendly ...
Mirage News4h
Artificial Neurons Organize Themselves
Both, human brain and modern artificial neural networks are extremely powerful. At the lowest level, the neurons work together as rather simple ...
AI basics: What are neural networks and why are they significant?
The field of AI is notoriously filled with jargon. To better understand what is going on, here is a series of explainers, which will break down some of the most common terms used in AI, and why they a ...
Nature1y
What are artificial neural networks?
Artificial neural networks are inspired by the early models ... we can make the network 'learn' to solve many types of problems. A model neuron is referred to as a threshold unit and its function ...
PC Magazine7y
neural network
The neural network architecture comprises numeric parameters connected to each other in a network-like pattern (see below). All such networks are technically "artificial neural networks" because ...
Hosted on MSN1mon
New laser-based artificial neuron processes enormous data sets at high speed
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 ...
Hackaday8mon
Analyzing Feature Learning In Artificial Neural Networks And Neural Collapse
Artificial Neural Networks (ANNs) are commonly used for ... training data set to configure the weights associated with each ‘neuron’. Due to the complexity of these ANNs for non-trivial ...
Phys.org19d
News on neural networks
The brain's ability to process information is known to be supported by intricate connections between different neuron populations. A key objective of neuroscience research has been to delineate ...
Hosted on MSN2mon
New training technique opens the door to neural networks that require much less energy
More information: Christian Klos et al, Smooth Exact Gradient Descent Learning in Spiking Neural Networks, Physical Review Letters (2025). DOI: 10.1103/PhysRevLett.134.027301 . On arXiv : DOI: 10. ...
Hackaday1y
Liquid Neural Networks Do More With Less
[Ramin Hasani] and colleague [Mathias Lechner] have been working with a new type of Artificial Neural Network called Liquid Neural Networks, and presented some of the exciting results at a recent ...
Tech Xplore on MSN10d
Combining photonic neural networks with distributed acoustic sensing for infrastructure monitoring
Distributed acoustic sensing (DAS) systems represent cutting-edge technology in infrastructure monitoring, capable of ...