Leveraging national surveys, big-data advances and machine learning, Cornell researchers have piloted a new approach to ...

coli, a simple model organism, to map how metabolites ... This gives us a logical starting point for drug development." Using AI machine learning powered by the Department of Energy's Frontier ...

More information: Max Callaghan et al, Machine learning map of climate policy literature reveals disparities between scientific attention, policy density, and emissions, npj Climate Action (2025).

Cornell researchers have developed a new machine-learning approach to mapping poverty, helping policymakers better identify ...

We use geospatial machine learning to map and monitor renewable energy development at scale ... You’ll gain a solid understanding of how to frame geospatial problems, acquire and preprocess data, and ...

For example, Lello et al. (2018) used machine learning to predict height, heel bone density, and educational attainment from the same dataset (UK Biobank). They chose to look at the total variance ...

This repository contains a curated list of awesome open source libraries that will help you deploy, monitor, version, scale, and secure your production machine learning 🚀 You can keep up to date by ...

After posting an explanation of her business model to LinkedIn, which briefly went viral, Dar's account on the website where business bros go to explain how great it is to ignore your family in ...

We focus specifically on the depth maps in 3D video content and introduce an extreme forest model from machine learning to optimize intra-frame coding. This paper proposes a novel CU partitioning ...