Deep Learning with Yacine on MSN

Nadam optimizer explained: Python tutorial for beginners & pros

Learn how to implement the Nadam optimizer from scratch in Python. This tutorial walks you through the math behind Nadam, ...
Learn With Jay on MSN

Mini-batch gradient descent in deep learning explained

Mini Batch Gradient Descent is an algorithm that helps to speed up learning while dealing with a large dataset. Instead of updating the weight parameters after assessing the entire dataset, Mini Batch ...
Frontiers

Advances in Deep Learning–Based Intelligent Sensing for Non-Destructive Monitoring of Crop Nutrition and Quality

Crop nutrition and quality formation are complex processes influenced by genotype, environment, and management practices.
EurekAlert!

Multimodal learning-based prediction for nonalcoholic fatty liver disease

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...
Tech Xplore

Reinforcement learning accelerates model-free training of optical AI systems

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

AJ2 to Demonstrate Proprietary Algorithm–Hardware Integrated Iris Recognition Platform at CES 2026

SEOCHO-GU, SEOUL, SOUTH KOREA, January 1, 2026 /EINPresswire.com/ — AJ2 (CEO Gil Soo Jung) announced that it will demonstrate its proprietary algorithm–hardware integrated iris recognition platform at ...
CNET

ChatGPT Glossary: 61 AI Terms Everyone Should Know

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...
Frontiers

Intelligent maneuver decision-making for UAVs using the TD3–LSTM reinforcement learning algorithm under uncertain information

Aiming to address the complexity and uncertainty of unmanned aerial vehicle (UAV) aerial confrontation, a twin delayed deep deterministic policy gradient (TD3)–long short-term memory (LSTM) ...
IEEE

Efficient Array Pattern Prediction Using a Deep Learning Algorithm

Abstract: In this article, a deep-learning (DL) algorithm is proposed to efficiently predict the pattern of the antenna array. By establishing the Bayesian-optimized convolutional neural network (CNN) ...
Wired

Google DeepMind’s AI Agent Dreams Up Algorithms Beyond Human Expertise

A key question in artificial intelligence is how often models go beyond just regurgitating and remixing what they have learned and produce truly novel ideas or insights. A new project from Google ...
EurekAlert!

CHOP, Penn Medicine researchers use deep learning algorithm to pinpoint potential disease-causing variants in non-coding regions of the human genome

Philadelphia, April 17, 2025 – Researchers from Children’s Hospital of Philadelphia (CHOP) and the Perelman School of Medicine at the University of Pennsylvania (Penn Medicine) have successfully ...