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.
Tech Xplore

Memristor demonstrates use in fully analog hardware-based neural network

As AI processing demands reach the limits of current CMOS technology, neuromorphic computing—hardware and software that mimic ...
Tech Xplore

Study finds AI privacy leaks hinge on a few high-impact neural network weights

Researchers have discovered that some of the elements of AI neural networks that contribute to data-privacy vulnerabilities ...

Inside the neural implant letting paralyzed patients type at 110 characters per minute

Before his disease took his voice, he could type a message as fast as anyone. Now, with electrodes no larger than a grain of rice embedded near the surface of his brain, he can do it again, at 110 ...
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 ...
Hosted on MSN

Activation functions in neural networks: Types and examples

In this video, we will see What is Activation Function in Neural network, types of Activation function in Neural Network, why to use an Activation Function and which Activation function to use. The ...
IEEE

Neural Networks-Based Output PDF Shape Identification and Control of Singularly Perturbed Systems

Abstract: For the output probability density function (PDF) control problem of singularly perturbed systems, a new neural networks-based output PDF shape identification and control is proposed to ...
C&EN

Integrating ESM-2 and Graph Neural Networks with AlphaFold-2 Structures for Enhanced Protein Function Prediction

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Protein function prediction is essential for elucidating biological processes and ...
IEEE

Adaptive Neural-Network-Based Fault Tolerant Control for Autonomous Vehicles With Dynamic Output Constraints

Abstract: Vehicle reliability and safety are critical to the development and application of autonomous driving technologies. This article presents an adaptive neural network (NN) fault-tolerant ...