(IN BRIEF) Researchers at the Technical University of Munich have developed a new method for training neural networks that is 100 times faster and more energy-efficient than traditional iterative approaches. By using probabilities instead of iterative adjustments, the method reduces … Read the full press release →
Posted in Artificial Intelligence (AI), Business, Education, Energy, Gas & Oil, Financial, Germany, Industrial, Infrastructure & Utilities, Investment, Management, News, Science, Technology
Tagged Advances in Neural Information Processing Systems, AI, artificial intelligence, climate modeling, data centers, energy consumption, energy efficiency, Felix Dietrich, financial forecasting, iterative methods, large language models, Munich Center for Machine Learning, Munich Data Science Institute, Neural Information Processing Systems, neural networks, NeurIPS, Physics-enhanced Machine Learning, probabilities, Technical University of Munich, TUM
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