AZoSensors on MSN

When, where and why vulnerable road users break traffic rules

This study provides insights into traffic rule violations among vulnerable road users, using mobile sensing and spatial ...

From Text To Tables: Why Structured Data Is AI’s Next $600B Frontier

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...
Devdiscourse

Using Satellite Data and Machine Learning to Track Cambodia’s GDP in Near Real Time

The IMF study shows that satellite data such as nighttime lights, air pollution, and vegetation health, when combined with ...

Detailed map reveals groundwater levels across the U.S.

How much fresh water is in the United States? It's a tough question, since most of the water is underground, accessible at ...
Devdiscourse

AI-driven rainfall forecasting shows major gains in predicting flood-triggering storms

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...
Scientific Research Publishing

Boosting Algorithm: An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ()

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
Semiconductor Engineering

Secure Data Sharing Becoming Critical For Chip Manufacturing

Driven by a plethora of benefits, data sharing is gradually becoming a “must have” for advanced device nodes and multi-die ...
Tech Xplore

Discrete spatial diffusion models data while obeying scientific principles

Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...

Datavault AI Announces Experiential Marketing Collaboration with New York’s Fifth Avenue Luxury Retailer Riflessi to Enable Sponsored Immersive 3D Digital Twins of I…

Riflessi to Deploy Digital Twins of Luxury Fashion Lines of Brunello Cucinelli, Gucci, Tom Ford, Kiton and Tommy ...
eLife

Spatial learning in multi-scale environments: Roles of hippocampus, orbitofrontal cortex, and retrosplenial cortex

The goal of this useful study is to examine learning-related changes in neural representations of global and local spatial reference frames in a spatial navigation task. Although the study addresses ...
Phys.org

Enhancing machine-learning interatomic potentials for advanced materials modeling

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...
Scientific Research Publishing

Socio-Behavioral and Spatial Determinants of HIV/AIDS Incidence in Ghana: An Ecological Cross-Sectional Study with Explainable Machine Learning ()

1 Department of Public Health and Wellbeing, School of Health and Social Work, University of Suffolk, Ipswich, UK. 2 School of Architecture, Computing and Engineering, University of East London, ...