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Unprecedented dataset of molecular simulations to train AI models released
A collaborative effort between Meta, Lawrence Berkeley National Laboratory and Los Alamos National Laboratory leverages Los ...
eLife15d
Deep Learning Reveals Endogenous Sterols as Allosteric Modulators of the GPCR-Gα Interface
Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for ...
IEEE17d
Few-Shot Automatic Modulation Classification via Semi-Supervised Metric Learning and Lightweight Conv-Transformer Model
Abstract: Deep learning (DL ... SMCTNet reduces the difficulty of model optimization by utilizing a parameter-free metric that directly calculates the similarity between output characteristics for ...
IEEE22d
Benchmarking Class Incremental Learning in Deep Learning Traffic Classification
Abstract: Traffic Classification (TC ... resulting in significantly limited efficiency of model updates. To address this shortcoming, in this work we systematically explore Class Incremental Learning ...
Science Daily26d
Machine learning model helps identify patients at risk of postpartum depression
Researchers developed a machine learning model that can ... The researchers found that the model was effective in ruling out PPD in 90 percent of cases. The model showed promise in predicting ...
Law29d
Microsoft Faces 'Multi-Billion' Pound Class Action
If successful, the case could rank among the largest class action claims in U.K. legal history, with potential damages estimated in the billions of pounds. Stewarts is advising Wolfson led by head ...