eLife

Separating selection from mutation in antibody language models

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Scientists Create a “Periodic Table” for Artificial Intelligence

Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...
IEEE

FedRDF: A Robust and Dynamic Aggregation Function Against Poisoning Attacks in Federated Learning

Abstract: Federated Learning (FL) represents a promising approach to typical privacy concerns associated with centralized Machine Learning (ML) deployments. Despite its well-known advantages, FL is ...
IEEE

Overcoming Data Scarcity: Guiding Citation Function Classification With Prompt-Based Few-Shot Learning

Abstract: Citation function analysis is crucial for understanding how cited literature affects the narrative in scientific publications, as citations serve multiple purposes that need accurate ...
GitHub

Learning function operators with neural networks.

Our Documentation contains a collection of tutorials on how to learn operators using continuiti, a collection of how-to guides to solve specific problems, more background, and a class documentation.
GitHub

A plant lesion recognition network model that integrates multi-scale features, has self-learning function, and combines bilateral attention mechanism.

First, download the source code and the weights of the pre-trained model, as shown in the following figure. Then set the parameters. Finally, train the model.It should be noted that when you use the ...
Geeky Gadgets

Stop Rewriting Formulas : Handle Functions Like Data in Excel and Power Query

Have you ever wished your Excel formulas could think like reusable building blocks instead of static, one-off instructions? Imagine creating a single formula that adapts dynamically to your data, ...