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

Context-Informed Incremental Learning Improves Throughput and Reduces Drift in Regression-Based Myoelectric Control

Abstract: Despite decades of research, commercially available powered myoelectric prostheses continue to use sequential, classification-based control. While regression-based approaches can improve the ...
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 ...
IEEE

Multimodal Strain Sensing System for Shape Recognition of Tensegrity Structures by Combining Traditional Regression and Deep Learning Approaches

Abstract: A tensegrity-based system is a promising approach for dynamic exploration of uneven, unpredictable, and confined environments. However, implementing such systems presents challenges in state ...