In order for large-scale artificial neural network hardware to become practical in the future, it is essential to integrate artificial neuron and synaptic devices, and it is necessary to reduce mass ...

By integrating and connecting the developed devices, the team also successfully implemented the "neuron-synapse-neuron" structure, the basic unit block of an artificial neural network, in hardware ...

The initial research papers date back to 2018, but for most, the notion of liquid networks (or liquid neural networks) is a new one. It was “Liquid Time-constant Networks,” published at the ...

Neural nets get a whole lot more complicated than this, but this is the essential structure: different places within a network are represented by nodes (circles) and connections between them (lines).

The brains of humans and other primates are known to execute various sophisticated functions, one of which is the ...

A “neuron” in a neural network is a mathematical function ... The research analyzed how the brain could produce complex patterns and could be simplified down to a binary logic structure with ...

A new technical paper titled “An Artificial Neuron with a Leaky Fin-Shaped Field-Effect Transistor for a Highly Scalable Capacitive Neural Network” was published by researchers at KAIST (Korea ...

Deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are designed to partly emulate the functioning and structure of biological neural networks. As a ...

You can 3D-print nearly anything: rockets, mouse ovaries, and for some reason, lamps made of orange peels. Now, scientists at Monash University in Melbourne, Australia, have printed living neural ...

The ability to precisely predict movements is essential not only for humans and animals, but also for many AI applications - ...