A generative AI framework predicts stable antiferromagnets, identifying semiconductors and metals with properties suited for ...

Single-cell RNA sequencing reveals profibrotic macrophage-stromal interactions macrophage-derived CCL2, CCL5, and SPP1, and TGF-β signaling as key drivers of fibrosis and pathogenesis in intrauterine ...

Now researchers at the Pacific Northwest National Laboratory plan to synthesize and test the novel material, Na x Li 3−x YCl 6, in a battery setup. It’s one of several AI-generated battery chemistries ...

Abstract: Predicting the causal flow by fusing multimodal perception is fundamental for constructing the bodily awareness of soft robots. However, forming such a predictive model while fusing the ...

Abstract: This study introduces a novel approach that combines a variational autoencoder and Bayesian optimization to accelerate the simultaneous parameter and topology optimization of interior ...

ABSTRACT: Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management. Conventional asset pricing models, such as the Fama-French three-factor ...

VANCOUVER, British Columbia--(BUSINESS WIRE)--Variational AI, the company behind Enki™, an advanced foundation model for small molecule drug discovery, today ...

BEIJING, Sept. 12, 2025 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced an in ...

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This repository provides code to pretrain and finetune MultiMAE on brain MRI data for classification and segmentation tasks, focusing on robustness to missing modalities.