aceA Comprehensive Review of Deep Learning: Architectures, Recent Advances, and Applications
Deep learning (DL) has become a core component of modern artificial intelligence (AI), driving significant advancements across diverse fields by facilitating the analysis of complex systems, from protein folding in biology to molecular discovery in chemistry and particle interactions in physics. However, the field of deep learning is constantly evolving, with recent innovations in both architectures and applications. Therefore, this paper provides a comprehensive review of recent DL advances, covering the evolut…
Deep learning drives advancements in biology, chemistry, and physics by facilitating analysis of protein folding, molecular discovery, and particle interactions.
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- Peer-reviewedInformation2024-11-27
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Truvace Impact Record TRV-2026-0272, v1: “A Comprehensive Review of Deep Learning: Architectures, Recent Advances, and Applications.” Truvace, 2026-07-19. /record/TRV-2026-0272 (accessed at citation time). sha256 d4601fe4d6ac60e1…
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