± SCIENCE Today’s artificial intelligence still faces two major challenges. One is that, in most industries, data exist…+ SCIENCE Deep learning takes on protein folding In 1972, Anfinsen won a Nobel prize for demonstrating a connection bet…± SCIENCE Significance Deep neural networks are currently the most successful machine-learning technique for solving a…+ SCIENCE Deep learning allows computational models that are composed of multiple processing layers to learn representa…+ HEALTH For the task of analyzing survival data to derive risk factors associated with mortality, physicians, researc…+ SCIENCE Artificial intelligence (AI) coupled with promising machine learning (ML) techniques well known from computer…+ SCIENCE Deep learning is revolutionizing many areas of science and technology, especially image, text, and speech rec…+ SCIENCE Current deep-learning models are mostly built upon neural networks, i.e. multiple layers of parameterized dif…
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TRV-2026-0209Certified recordPeer-reviewed

Deep learning

Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved the state-of-the-art in speech recognition, visual object recognition, object detection and many other domains such as drug discovery and genomics. Deep learning discovers intricate structure in large data sets by using the backpropagation algorithm to indicate how a machine should change its internal parameters th…

Science · G Space — documented gain · certified 2026-07-13 · v1 · article view · machine-readable

Current reading — gain

Deep learning models composed of multiple processing layers improved state-of-the-art performance in speech recognition, visual object recognition, object detection, drug discovery and genomics by 2015

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Truvace Impact Record TRV-2026-0209, v1: “Deep learning.” Truvace, 2026-07-13. /record/TRV-2026-0209 (accessed at citation time). sha256 81f9b9c5028f5bab…

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