Technical limitations and exaggerated promises can reduce funding and adoption even while research continues. The term describes a historical market and research cycle rather than a specific model failure.
An AI winter is a period when investment, public interest, and institutional support for artificial intelligence decline after unmet expectations.
Technical limitations and exaggerated promises can reduce funding and adoption even while research continues. The term describes a historical market and research cycle rather than a specific model failure.