Cause: In the early 1980s, the remarkable success of expert systems rekindled enthusiasm for the field of artificial intelligence. However, as the market demand for expert systems saturated and awareness of the limitations of these systems in handling large-scale, complex problems deepened, the field of artificial intelligence fell into a trough again. In addition, in 1987, Japan's fifth-generation computer project failed to achieve its expected goals, which made many investors disappointed in artificial intelligence, resulting in a significant reduction in funding.
Impact: During the second cold winter, investment in the field of artificial intelligence was hit again, and many research projects and companies fell into trouble. However, this period also gave rise to some lithuania mobile database important technological breakthroughs, such as the back propagation algorithm of neural networks, genetic algorithms, and support vector machines. These technologies laid the foundation for the subsequent revival of the field of artificial intelligence. At the same time, due to the rapid development of computer hardware, the improvement of processing power made it possible for the further development of artificial intelligence.
Although the two "cold winters" in the field of artificial intelligence temporarily hindered research progress, these difficult times also prompted researchers to think about problems from different angles and seek new methods. Amid these challenges, some important theories and technologies continued to develop, laying the foundation for the prosperity of artificial intelligence today.