AI makes the first 80% of development feel fast, but hides architectural complexity until it's too late. To prevent system ...

AI and data science are no longer specialist skills confined to computational biology departments; they are core tools of the modern life science research workflow. From machine learning (ML) models ...

The law standardizes language around expiration dates, aiming to minimize confusion about when food is safe to eat. More than one-third of food sold nationwide is wasted, the U.S.D.A. says. By Yan ...

This repository is a fork from https://github.com/carpentries-incubator/machine-learning-neural-python, an excellent introduction to ML for images. This half-day ...

Abstract: Effectively estimating the uncertainty attached to neural network predictions thus becomes essential to improve robustness, reliability, and trustworthiness. This paper provides an overview ...

Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...