Was a lack of computing power the only obstacle?
No. Data quality, algorithm design, representing knowledge, and handling unfamiliar situations also mattered. Faster computers help only when the underlying method can use them effectively.
Explore This Question
Search for additional explanations using these tools:
More FAQs in Why was AI difficult to develop for several decades?
Everyday situations rely on many unstated assumptions and exceptions. Writing all of them as explicit rules becomes difficult as the range of situations expands.
No. Researchers continued developing methods and applications, although funding and attention shifted. Progress in a subfield can continue even when the broader label loses popularity.
Still have questions?
Browse all our FAQs or reach out to our support team