Multi-Agent Intelligence
Multi-Agent Intelligence refers to the discipline of gathering, analysing and applying information related to multi-agent, producing insight that supports decision-making.
Multi-Agent Intelligence powers modern automation and decision-support systems across analytics, security and operations.
AutoGen and CrewAI orchestrate multi-agent LLM systems — planner, researcher, coder, critic — for coding and research tasks.
A live — tool is on the roadmap. In the meantime, explore the definition and application above.
RoadmapAndrew Ng's applied AI/ML specialisations.
Practical Deep Learning for coders.
High-level deep-learning API on TensorFlow.
Natural Language Toolkit for Python.
Open-source visual analytics and ML.
Turn Python scripts into shareable data apps.
Graph database — powers link-analysis at scale.
Computer-vision annotation and training platform.
Virtual OSINT Investigation Machine Intelligence refers to the discipline of gathering, analysing and applying information related to virtual osint investigation machine, producing insight that supports decision-making.
Ambient intelligence refers to the discipline of gathering, analysing and applying information related to ambient, producing insight that supports decision-making.
The simulation of human intelligence processes by machines, especially computer systems.
AI techniques that produce decisions humans can understand and audit.
AI focused on a single narrow task such as image recognition or translation.
Hypothetical AI capable of performing any intellectual task a human can.