Frontiers

Improving Machine Learning for Water Resources Through Scientific Knowledge Integration

Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...
The Conversation

Machines whisper before they scream: we built an AI model that predicts expensive problems

Post Doc Fellow: AI and Data Systems in Nuclear/Particle Physics, Stellenbosch University In most industries, maintenance is a waiting game. Things are fixed when they break. But in the 21st century, ...
IEEE

A Survey on Machine Learning Techniques for Head-Related Transfer Function Individualization

Abstract: Machine learning (ML) has become pervasive in various research fields, including binaural synthesis personalization, which is crucial for sound in immersive virtual environments. Researchers ...
IEEE

Federated Scientific Machine Learning for Approximating Functions and Solving Differential Equations With Data Heterogeneity

Abstract: By leveraging neural networks, the emerging field of scientific machine learning (SciML) offers novel approaches to address complex problems governed by partial differential equations (PDEs) ...
Frontiers

Ensemble machine learning for predicting renal function decline in chronic kidney disease: development and external validation

1 Department of Nephrology, the 95th Hospital of Putian in China RongTong Medical Health Corporation, Putian, China 2 Department of Rheumatology and Immunology, the 95th Hospital of Putian in China ...
C&EN

Machine learning helps density functional theory model molecules accurately

A rotating cylinder with its side cut away to expose the core, showing patches of purple, blue, green, yellow, and orange that are dense in the middle and more diffuse toward the edges. This rotating ...
GitHub

Azure Machine Learning - Overview

Purpose End-to-end ML lifecycle management and MLOps Unified data analytics and business intelligence platform Unified platform for building and deploying AI solutions Model Deployment Supports ...
C&EN

Does Hessian Data Improve the Performance of Machine Learning Potentials?

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The integration of machine learning into reactive chemistry, materials discovery, and ...
Wired

This AI Model Never Stops Learning

Modern large language models (LLMs) might write beautiful sonnets and elegant code, but they lack even a rudimentary ability to learn from experience. Researchers at Massachusetts Institute of ...