Minkang Zhang Improves Medical Image Recognition Through RNN Optimization and Deep Learning Integration

A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...
Tech Xplore

Visualizing the internal structure behind AI decision-making

Although deep learning–based image recognition technology is rapidly advancing, it still remains difficult to clearly explain ...

How To Prepare For AI’s Unprecedented Network Demands

Before jumping into the AI deep end, it’s vital to take the time to understand how your infrastructure really fits together.

Skill Modules for Deep Agent CLI Cut Confusion and Accelerate Task Flow

Cut confusion and token waste using modular skills in Deep Agent CLI. YAML front matter guides use, then the full skill.md ...

Build Smarter Sub-Agents with Deep Agents : Plans, Delegates & Ships Results Locally

Build workflows with Deep Agents CLI, file access, memory, planning, and shell tools using LangChain plus LangGraph in an open source stack.

Lingyun Lai Enhances Data Security Evaluation with Deep Learning and Hierarchical Analytical Frameworks

Research combining deep learning methodologies with Analytic Hierarchy Process establishes comprehensive frameworks for data security risk ...
IEEE

DeepLA-Net: Very Deep Local Aggregation Networks for Point Cloud Analysis

Abstract: Due to the irregular and disordered data structure in 3D point clouds, prior works have focused on designing more sophisticated local representation methods to capture these complex local ...