Expert (Researchers and Professionals)

Highly specialized terms for advanced AI professionals.

1. Self-Supervised Learning: AI generating its own training labels.
   • Example: Large language models like GPT-4 learning from raw text.
2. Explainability-by-Design: Building transparent AI systems from the start.
   • Example: AI in finance explaining why a loan was approved.
3. Knowledge Graph: Networks representing relationships between entities.
   • Example: Google’s Knowledge Graph linking search terms like “Shakespeare” and “Hamlet.”
4. Autonomous Systems: AI systems operating without human intervention.
   • Example: Mars rovers exploring and analyzing the planet’s surface.
5. Swarm Robotics: Multiple AI-powered robots working collectively.
   • Example: Robotic swarms in warehouses for inventory management.
6. Cognitive Computing: Simulating human thought processes.
   • Example: IBM Watson assisting in medical diagnostics.
7. Edge Computing: Processing data locally for faster response times.
   • Example: AI in smart home devices operating offline for real-time decisions.
8. AutoML: Tools for automating AI model creation and optimization.
   • Example: Google AutoML enabling users to build custom models.
9. Model Compression: Reducing AI model size without sacrificing performance.
   • Example: Compressing models for AI assistants on smartphones.
10. Artificial General Intelligence (AGI): AI capable of performing any intellectual task a human can do (hypothetical).
    • Example: AGI remains theoretical but is explored in sci-fi films like Ex Machina.