The term ‘AI Winter’ refers to a period during the late 1970s and early 1980s when enthusiasm and funding for artificial intelligence research significantly dwindled. This decline was due to unmet expectations and the realization that the challenges of AI were more complex than initially thought. The field faced skepticism and criticism, leading to reduced financial support from both government and private sectors. Despite the setbacks, this period was crucial for recalibrating the goals and methodologies of AI research.