Deep learning reveals how auditory cortex neurons split up natural sound coding

Over the past decades, computer scientists have introduced numerous artificial intelligence (AI) systems designed to emulate the organization and functioning of networks of neurons in the brain.
AlphaGalileo

Hybrid structure for enhancing robustness in optical diffractive neural networks without vaccination training

By designing a hybrid system with variable-sized neurons, the key problems in the manufacturing process of ODNNs were ...

Wet lab research and deep machine learning identify a key driver of long-term inflammatory memory

One of the most puzzling aspects of common chronic inflammatory skin diseases such as psoriasis is how they become chronic.
GitHub

Deep neural networks

Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural ...
Frontiers

Implementing physics-informed neural networks with deep learning for differential equations

Physics-aware machine learning integrates domain-specific physical knowledge into machine learning models, leading to the development of physics-informed neural networks (PINNs). PINNs embed physical ...
Forbes

Context Monsters And Dropout Layers: The Job Market As A Neural Net

Forbes contributors publish independent expert analyses and insights. Philip Maymin, a professor of analytics and AI, covers finance and AI. Is this a deep learning neural network, with blue inputs, ...
Beebom

What is Deep Learning in AI? Understanding How AI Really Works

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...
C&EN

A Deep-Learning Neural Network Potential Accelerated First-Principles Study on the Structural Changes Modulated by Methylation and Solvation in 27 Protonated Tripeptides

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Exploring low-energy conformers of tripeptides with different side chains using ...
IEEE

Enhancing Adaptive Learning With Deep Neural Networks for Personalized Education

Abstract: This study presents a comprehensive deep learning framework that significantly advances personalized learning technologies, particularly its focus on intelligent systems and human-centered ...