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Explore the cutting-edge field of Next-Generation Reservoir Computing in this hour-long lecture from the Santa Fe Institute. Delve into the latest advancements and applications of this powerful machine learning technique, which combines the principles of recurrent neural networks with the efficiency of fixed, random connections. Gain insights into how reservoir computing is revolutionizing time series prediction, pattern recognition, and complex system modeling. Discover the potential impact of this technology on fields such as neuroscience, climate modeling, and financial forecasting. Engage with expert researchers as they discuss current challenges and future directions in reservoir computing, including hardware implementations and scalability issues.