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www.nature.com
nature.com › articles › nature14539
Feb 25, 2026 — 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...
⏱ 20 min read
doi.org
doi.org › 10.1038%2Fnature14539
Feb 25, 2026 — 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...
⏱ 20 min read
doi.org
doi.org › 10.1038%2Fs41586-021-03819-2
Feb 21, 2026 — AlphaFold predicts protein structures with an accuracy competitive with experimental structures in the majority of cases using a novel deep learning architecture.
⏱ 59 min read
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doi.org
doi.org › 10.1038%2Fs41586-021-04357-7
Feb 21, 2026 — Using the game Gran Turismo, an agent was trained with a combination of deep reinforcement learning algorithms and specialized training scenarios, demonstrating success against championship-level...
⏱ 17 min read
doi.org
doi.org › 10.1007%2Fs11019-020-09948-1
Feb 21, 2026 — Artificial intelligence (AI) is among the fastest developing areas of advanced technology in medicine. The most important qualia of AI which makes it different from other advanced technology products ...
⏱ 8 min read
doi.org
doi.org › 10.1007%2Fs13218-012-0198-z
Feb 25, 2026 — Hierarchical neural networks for object recognition have a long history. In recent years, novel methods for incrementally learning a hierarchy of features from unlabeled inputs were proposed as good s...
⏱ 9 min read
www.ncbi.nlm.nih.gov
ncbi.nlm.nih.gov › pubmed › 25719670
Feb 25, 2026 — The theory of reinforcement learning provides a normative account, deeply rooted in psychological and neuroscientific perspectives on animal behaviour, of how agents may optimize their control of an e...
⏱ 7 min read
www.ncbi.nlm.nih.gov
ncbi.nlm.nih.gov › pubmed › 26017442
Feb 25, 2026 — 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...
www.ncbi.nlm.nih.gov
ncbi.nlm.nih.gov › pubmed › 26819042
Feb 25, 2026 — The game of Go has long been viewed as the most challenging of classic games for artificial intelligence owing to its enormous search space and the difficulty of evaluating board positions and moves. ...
⏱ 7 min read
doi.org
doi.org › 10.1038%2Fnature14236
Feb 25, 2026 — An artificial agent is developed that learns to play a diverse range of classic Atari 2600 computer games directly from sensory experience, achieving a performance comparable to that of an e...
⏱ 16 min read
doi.org
doi.org › 10.1007 › s44395-025-00007-3
Feb 25, 2026 — Artificial intelligence (AI) has revolutionized drug discovery and development by accelerating timelines, reducing costs, and increasing success rates. AI leverages machine learning (ML), deep learnin...
⏱ 44 min read
doi.org
doi.org › 10.1007%2Fs44395-025-00007-3
Feb 25, 2026 — Artificial intelligence (AI) has revolutionized drug discovery and development by accelerating timelines, reducing costs, and increasing success rates. AI leverages machine learning (ML), deep learnin...
⏱ 44 min read
