Deep Learning with Yacine on MSN

What is VGG in deep learning?

Discover VGG, a popular convolutional neural network architecture, and learn why it’s important in computer vision tasks. #VGG #DeepLearning #CNN ...

AI-powered ECG analysis shows promise for early COPD detection

Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally. Effective management ...

WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning

Beijing, Jan. 05, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning ...
Science Daily

AI may not need massive training data after all

New research shows that AI doesn’t need endless training data to start acting more like a human brain. When researchers ...
Semiconductor Engineering

Study Of HW Acceleration for Neural Networks (Arizona State Univ.)

A new technical paper titled “Hardware Acceleration for Neural Networks: A Comprehensive Survey” was published by researchers ...
IEEE

Data-Driven Motion Planning: A Survey on Deep Neural Networks, Reinforcement Learning, and Large Language Model Approaches

Abstract: Motion planning is a fundamental challenge in robotics, involving the creation of trajectories from start to goal states while meeting constraints like collision avoidance and joint limits.
blockchain

Celebrating Geoffrey Hinton: AI Pioneer’s Impact on Deep Learning and Neural Networks

According to Jeff Dean on Twitter, Geoffrey Hinton, often referred to as the 'Godfather of AI,' celebrates his birthday today. Hinton's pioneering research in neural networks and deep learning has ...
Scientific American

Could Symbolic AI Unlock Human-Like Intelligence?

Will computers ever match or surpass human-level intelligence — and, if so, how? When the Association for the Advancement of Artificial Intelligence (AAAI), based in Washington DC, asked its members ...
Frontiers

Review of deep learning models with Spiking Neural Networks for modeling and analysis of multimodal neuroimaging data

Medical imaging has become an essential tool for identifying and treating neurological conditions. Traditional deep learning (DL) models have made tremendous advances in neuroimaging analysis; however ...
GitHub

What are neural networks?

What is a neural network? A neural network, also known as an artificial neural network, is a type of machine learning that works similarly to how the human brain processes information. Instead of ...
IEEE

Energy-efficient Distributed Heterogeneous Hybrid Flow-shop Scheduling Using Graph Neural Network and Deep Reinforcement Learning

Abstract: With growing environmental awareness and increasing energy demands, sustainable manufacturing has become a focal point in the industry. Meanwhile, globalization has propelled distributed ...
EurekAlert!

Common feature between forest fires and neural networks reveals the universal framework underneath

Both a wildfire and activity of digital “neurons” exhibit a phase transition from an active to an absorbing phase. Once a system reaches an absorbing phase, it cannot escape from it without outside ...