A new study proposed a deep neural network-based forward design approach that enables an efficient search for superior materials far beyond the domain of the initial training set. This approach ...
In a recent study published in Science Advances, researchers presented a deep learning framework, termed DeepAIR, to accurately predict adaptive immune receptor (AIR)-antigen binding by integrating ...
Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...
(a) An illustrative map for Crack-Net, including the initial features, looping solver for data generation, model training, and prediction performance. (b) The Crack-Net architecture, which utilizes ...
NEW YORK--(BUSINESS WIRE)--Deep Instinct, the first company to apply deep learning to cybersecurity, today announced the release of Version 2.2 with new product capabilities such as the first macOS ...
US researchers say a deep-learning framework provides the most detailed picture yet of how utility-scale solar uses land, revealing unexpected efficiency gaps and clearer pathways for agrivoltaics and ...
Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...
MVTec and Qualcomm enable customers of MVTec HALCON software to access Qualcomm Dragonwing processors’ high-performance NPUs ...
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