For many years, businesses have used Optical Character Recognition (OCR) to convert physical documents into digital formats, ...

See extract_allen_data.ipynb for data preprocessing ... Supervised Graph Representation Learning for Neuronal Morphologies}, author={Marissa A. Weis and Laura Hansel and Timo L{\"u}ddecke and ...

Alessandro Ingrosso, researcher at the Donders Institute for Neuroscience, has developed a new mathematical method in ...

In a recent advance, a multi-disciplinary team of researchers developed a machine learning framework that adapts to changes ...

Pretrained foundation models for diagnosing nonmelanoma skin cancer outperformed baseline machine learning models.

Mixture-of-Experts (MoE) models are revolutionizing the way we scale AI. By activating only a subset of a model’s components ...

More than a hundred experts in molecular simulation have published a paper in the journal Nature Methods calling for a paradigm shift in molecular dynamics data management.

Learn step-by-step techniques for preparing data and fine-tuning large language models to achieve exceptional performance.

Abstract: Federated graph learning (FGL) empowers distributed training of subgraphs across multiple institutions, overcoming the challenges of data silos and inter-institutional data sharing. Existing ...