“Over the coming decade, deep learning looks set to have a transformational impact on the natural sciences. The consequences are potentially far-reaching and could dramatically improve our ability to model and predict natural phenomena over widely varying scales of space and time. Our AI4Science team encompasses world experts in machine learning, quantum physics, computational chemistry, molecular biology, fluid dynamics, software engineering, and other disciplines, who are working together to tackle some of the most pressing challenges in this field.“
未来十年,深度学习注定将会给自然科学带来变革性的影响。其结果具有潜在的深远意义,可能会极大地提高我们在差异巨大的空间和时间尺度上对自然现象进行建模和预测的能力。为此,微软研究院科学智能中心(AI4Science)集结了机器学习、计算物理、计算化学、分子生物学、软件工程和其他学科领域的世界级专家,共同致力于解决该领域中最紧迫的挑战。
Professor Chris Bishop, Technical Fellow, and Director, AI for Science
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