In this episode of Generally AI, Roland Meertens and Anthony Alford discuss the historical cycles of AI "summers" and "winters": periods of optimism and decline in AI research. The conversation follows the story of neural networks, from Rosenblatt’s perceptron, to the resurgence of AI with backpropagation and deep learning in the 2010s. They also explore the potential for a future "AI Winter", as technological advances face both hype and skepticism. They then discuss the A* search algorithm, which was developed in 1968 and remains a key tool in AI and computer science. The algorithm's lasting relevance and flexibility make it useful across fields like mapping, video games, and even chess engines.
Read a transcript of this interview: https://bit.ly/3BxgaMW
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