An international team has reconstructed, with unprecedented precision, the architecture and functioning of tens of thousands of neurons from a mouse brain sample, along with their 500 ...

Researchers in China are using 3D printing and neural networks to monitor food freshness for fruits and vegetables in real ...

This innovative system integrates metasurface optics with artificial intelligence to extract ... in enhancing the SPSIM system's capabilities. Neural networks: The key to high-precision 3D ...

AI models like artificial neural networks and language models help scientists solve a variety of problems, from predicting the 3D structure of proteins to designing novel antibiotics from scratch.

Researchers mapped 84,000 neurons in a mouse brain after it watched video clips. The 3D map links structure and activity.

AlexNet revolutionized the use of neural networks for computer vision, creating one of the underpinnings of generative AI.

Neuromorphic computing seeks to replicate the information-processing capabilities of biological neural networks ... demonstrated photonic synapses and artificial afferent nerves, these ...

The integration of deep learning in neuroimaging enhances diagnostic capabilities, offering new insights into neurological ...

Often, each node in a layer is connected to every node in the subsequent layer to send information forward in the network. “When you write code to build an artificial neural network, you're basically ...

[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 ...

Artificial Neural Networks (ANNs) are commonly used for machine vision purposes, where they are tasked with object recognition. This is accomplished by taking a multi-layer network and using a ...

Neural networks are a key technology in artificial intelligence (AI) that are inspired by the human brain’s structure and ...