Real-Time Learning:
Learns and updates its models continuously based on new data and Can respond to concept drift (i.e., when data patterns change over time).
Human-AI Collaboration:
Often designed to work with humans, learning from interactions and adjusting behaviour to support decisions.
Feedback Loops:
Uses feedback from users or systems to improve performance over time and Enables more accurate predictions or recommendations as it gains experience.
Context Awareness:
Understands the environment or context and adapts its decisions accordingly and Useful in dynamic systems like autonomous vehicles, personalized medicine, or financial markets.
