Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...
Google Research published SensorFM on Wednesday, a foundation model for wearable health that predicts cardiovascular risk, depression, anxiety, and 32 other conditions from consumer smartwatch signals ...
AI and data science are no longer specialist skills confined to computational biology departments; they are core tools of the modern life science research workflow. From machine learning (ML) models ...
ML IsolationForest + PyTorch autoencoder anomaly detection · supervised stress-day classifier (logistic + random forest) · semi-supervised label propagation · PCA + KMeans + Marchenko-Pastur denoising ...
Official implementation of FunPhase: A Periodic Functional Autoencoder for Motion Generation via Phase Manifolds (Pegoraro et al., 2025 — accepted at ICML 2026). Concretely, a Perceiver-based ...
Abstract: Data-driven soft sensing is widely adopted for real-time quality variable detection due to rapid advancements in machine learning. Industrial process data typically exhibit high ...
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