Alibaba's AgentEvolver lifts model performance in tool use by ~30% using synthetic, auto-generated tasks

The new framework from Tongyi Lab enables agents to create their own training data by exploring and interacting with new ...
IEEE

A Comprehensive Survey and Tutorial on Smart Vehicles: Emerging Technologies, Security Issues, and Solutions Using Machine Learning

Abstract: According to research, the vast majority of road accidents (90%) are the result of human error, with only a small percentage (2%) being caused by malfunctions in the vehicle. Smart vehicles ...

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 ...
IEEE

Dense Segmentation Techniques Using Deep Learning for Urban Scene Parsing: A Review

Abstract: Dense segmentation tasks, including semantic, instance, and panoptic segmentation, are essential for improving our comprehension of urban landscapes. This paper examines various deep ...
GitHub

Deep Research Agent Tutorial

deep-research-agent-tutorial/ ├── BasicResearchAgency/ │ └── agency.py # 🎯 Single agent research (simplest) ├── DeepResearchAgency/ │ ├── agency.py # 🎯 Multi-agent handoffs pattern │ ├── ...