Algorithm precisely quantifies flow of information in complex networks

Networks are systems comprised of two or more connected devices, biological organisms or other components, which typically ...

Bats' brains reveal a global neural compass that doesn't depend on the moon and stars

Some 40 kilometers east of the Tanzanian coast in East Africa lies Latham Island, a rocky, utterly isolated and uninhabited ...
Tech Xplore

VFF-Net algorithm provides promising alternative to backpropagation for AI training

Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn ...
Deep Learning with Yacine on MSN

Backpropagation with Automatic Differentiation from Scratch in Python

Learn how backpropagation works using automatic differentiation in Python. Step-by-step implementation from scratch.
Mirage News

SEOULTECH Researchers Develop VFF-Net, Revolutionary Alternative To Backpropagation That Transforms AI Training

Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn hidden patterns from ...
Frontiers

Spiking Neural Networks at Scale: Learning Algorithms, Architectures, and Real-World Applications

Spiking Neural Networks (SNNs) are a cutting-edge approach to artificial intelligence, designed to emulate the brain's architecture and functionality. Their ...
EurekAlert!

Study highlights importance of dedicated exits for vulnerable populations in building evacuations

A research team has reviewed how machine learning (ML) is revolutionizing fermentation design and process optimization by ...
IEEE

Spatio-temporal Analysis of Land Use/Cover Change (LUCC) Using Back Propagation Neural Network: A Case Study of Fuyang City, China

Abstract: To address the limitations of low accuracy and error-prone classification in traditional maximum likelihood methods, this study uses three Landsat images from Fuyang City, China (2015, 2019, ...
IEEE

Two-Stage Real-Time Carbon Emission Monitoring for Low-Carbon Power System Operation: A Graph Neural Network-Based Approach

Abstract: As carbon emissions reduction is becoming increasingly important for sustainable development and carbon neutrality targets, the concept of carbon emission market has been recently proposed ...