Summary of State of AI Systems in Practice
* Speech synthesis, recognition and understanding
* very useful for limited vocabulary applications
* unconstrained speech understanding is still too hard
* Computer vision
* works for constrained problems (hand-written zip-codes)
* understanding real-world, natural scenes is still too hard
* Learning
* adaptive systems are used in many applications: have their limits
* Planning and Reasoning
* only works for constrained problems: e.g., chess
* real-world is too complex for general systems
* Overall:
* many components of intelligent systems are “doable”
* there are many interesting research problems remaining