Deep learning has recently been applied to various research areas of design optimization. This study presents the need and effectiveness of adopting deep learning for generative design (or design exploration) research area. This work proposes an artificial intelligent (AI)-based design automation framewo...
To address these limitations, we present SpatialScope, a unified approach integrating scRNA-seq reference data and ST data using deep generative models. With innovation in model and algorithm designs, SpatialScope not only enhances seq-based ST data to achieve single-cell resolution, but also ...
Therefore, in this work, we investigate to leverage a deep generative model (IuGAN-ErCT) to simultaneously generate ErCT images at multiple energy bins from existing EiCT images. Specifically, a unified generative adversarial network (GAN) is employed. With a single generator, the generative ...
Generative modelsare statistical models that aim to capture the joint distribution between a set of observed or latent random variables. Example: using deep generative models for chemical space exploration and matter engineering.87 Multifidelity modelingis a supervised learning approach to synergistically c...
In hopes of replacing a full retrosynthetic analysis with a prediction, a deep learning model was trained to predict the RScore1min obtained with Spaya-API. The performance of the neural network was evaluated on a hold out test set of the preprocessed Chembl dataset. The box plot of the ...
Since its release in November 2022, many students have stated that AI tools like ChatGPT enabled them to complete college-level writing assignments that were originally designed to require hours of deep thinking in a matter of minutes (Duffy & Weil, 2023). While ChatGPT and similar chatbots'...
This study proposes a deep learning-based CAD/CAE framework that automatically generates three-dimensional (3D) CAD models, predicts CAE results immediately, explains the results, and verifies the reliability. The proposed framework comprises seven stages: (1) two-dimensional (2D) generative design, ...
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Deep generative modeling for single-cell transcriptomics. Nat. Methods 15, 1053–1058 (2018). CAS PubMed PubMed Central Google Scholar Lotfollahi, M., Wolf, F. A. & Theis, F. J. scGen predicts single-cell perturbation responses. Nat. Methods 16, 715–721 (2019). CAS PubMed Google ...
Deeper evaluation of a single-cell foundation model Rebecca Boiarsky Nalini M. Singh David Sontag Nature Machine Intelligence (2024) Deep generative AI models analyzing circulating orphan non-coding RNAs enable detection of early-stage lung cancer Mehran Karimzadeh Amir Momen-Roknabadi Hani Goodar...