AI Foundations
State space model
A method that processes ordered information by updating an internal summary as each new piece arrives.
Example
An AI updates a running internal summary while reading a long sequence.
Why people use it
It represents an ordered process through information carried and updated over time.
What you'll hear
“What state is carried forward to the next step?”
What this means for you
Check which particular method is being discussed and how it was tested.
Can you control it?
Developer-only
The people building or running the AI choose this setup. An everyday user generally needs their help to change how this part works.
Common questions
- Can it handle information arriving one piece at a time?
- Yes. Its running summary can be updated as new measurements or other ordered information arrives.
- Does it refer only to modern neural AI?
- No. State space approaches also have a longer history in statistics and other fields.
- Does keeping a state mean retaining every earlier detail?
- No. What is preserved depends on the particular design and update rules.