A new collaboration between Google Cloud and the University of Oxford is exploring how Google’s LLM, Gemini, could become an ...
Pair programming and continuous integration can go hand-in-hand. Pushing to main multiple times a day is hard in isolation, ...
Most proteins in blood are measured outside their functional and cellular context. Machine learning was used to integrate ...
The global chemical industry produces hundreds of long, repeating molecular chains called polymers. Only a handful comprise ...
Physics-based ML framework designs IDPs—biomolecules without fixed structures that underlie key functions and diseases such as Parkinson’s.
High-content high-resolution microscopy coupled with deep learning-based analysis reveals novel phenotypes at the single-cell level during Shigella infection.
A large language model scans abstracts and titles for signs that an article was produced by a 'paper-mill' company.
Abstract: This study proposes a comprehensive framework that integrates Synthetic Minority Oversampling Technique based transfer learning with Explainable Artificial Intelligence for multiclass eye ...
The clinical and molecular heterogeneity of IBD—both between patients and within the same individual over time—continues to ...
Abstract: Multi-label image classification aims to classify all categories in images simultaneously. When current multi-label classification methods meet fine-grained objects in a single image, the ...
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