Psychology Today

Attachment as Prediction, Development, and Mind Building

A new active-inference account reframes attachment styles as calibrated models of the world—with consequences for how we ...
Healio

Electronic health record-based machine learning models improve OSA prediction

Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...
Tech Xplore

Geospatial upgrade gives TabPFN sharper local predictions on datasets up to 70,000 rows

A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...
GitHub

DualNetGO: A Dual Network Model for Protein Function Prediction via Effective Feature Selection

Here we provide the codes, some of the processed data, and important results of the DualNetGO paper. DualNetGO is comprised of two components: a graph encoder for extracting graph information or ...
Frontiers

Students are using large language models and AI detectors can often detect their use

Large language model (LLM) artificial intelligence (AI) has been in development for many years. Open AI thrust them into the spotlight in late 2022 when it released ChatGPT to the public. The wide ...
C&EN

Chemprop: A Machine Learning Package for Chemical Property Prediction

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Deep learning has become a powerful and frequently employed tool for the prediction of ...
GitHub

ChEB-AI/python-chebai

ChEBai is a deep learning library designed for the integration of deep learning methods with chemical ontologies, particularly ChEBI. The library emphasizes the incorporation of the semantic qualities ...