Deep learning, knowledge agents: How D-FW companies are upping their game with AI

From deep learning for medical research to a variety of self-service knowledge agents, D-FW companies continue to up their ...
Deep Learning with Yacine on MSN

What Are Multi-Agent Systems in Deep Learning? MetaGPT Explained

What happens when multiple AI agents work together to solve complex problems? In this video, we dive into multi-agent systems ...
Deep Learning with Yacine on MSNOpinion

Can Large Language Models Learn After Training? Explained Simply

Discover whether large language models like GPT can actually learn or update their knowledge after training. This video ...
IEEE

Enabling Intelligent Immersive Learning using Deep Learning-based Learner Confidence Estimation

Abstract: In today’s world, augmented reality and virtual reality (AR/VR) technologies have become more accessible to the public than ever. This brings the possibility of immersive learning to the ...
IEEE

DRLLog: Deep Reinforcement Learning for Online Log Anomaly Detection

Abstract: System logs record the system’s status and application behavior, providing support for various system management and diagnostic tasks. However, existing methods for log anomaly detection ...
PNAS

A protein dynamics–based deep learning model enhances predictions of fitness and epistasis

Predicting the effects of multiple mutations on protein function is challenging due to the intricate interplay between residues. Machine learning has advanced these efforts, but traditional neural ...
GitHub

eric-vo/mathworks-noise-suppression

data/ ├── noise/ # Background noise samples used for mixing ├── train/ # Training dataset │ ├── clean_trainset_wav/ # Clean training audio │ └── noisy_trainset_wav/ # Noisy training audio ├── validate ...