AI Winter

AI Winter refers to periods in the history of artificial intelligence when interest and funding in AI research significantly decline. This usually happens after a phase of high expectations and hype, often due to the failure of AI technologies to deliver on promises or achieve practical results. During these times, researchers face limited resources, job losses, and reduced motivation. The term emphasizes the cyclical nature of AI development, marked by both rapid advancements and sudden stagnation, reflecting the challenges of creating intelligent machines that can effectively mimic human cognitive abilities.