AI reads a century of Sun sketches to uncover hidden patterns in solar activity

BENGALURU: Artificial Intelligence has helped scientists unlock a century of the Sun’s history by analysing hand-drawn ...

Beyond 3-D: Data scientists introduce novel AI tool to interpret complex biological data

As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability enables us to be aware of our position in space, judge distances, possess ...
AZoBuild

Machine Learning Improves Strength Predictions in Concrete

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

New superconductors identified, unlocking process that could yield thousands more

An international team of quantum researchers has shown how machine learning can be used to filter a practically infinite ...
AZoM

Berkeley Lab Uses Advanced Machine Learning to Optimize Chiral Perovskites

Chiral 2D metal halide perovskites (MHPs) are among the most promising materials for future technologies that exploit the ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
IEEE

Dempster Shafer-Empowered Machine Learning-Based Scheme for Reducing Fire Risks in IoT-Enabled Industrial Environments

Abstract: In high-risk IoT-enabled Industrial Environments such as oil and gas industries, early and accurate fire detection is crucial to prevent catastrophic damage. Traditional fire detection ...
IEEE

SSPT: A Self Supervised Network Traffic Anomaly Detection Method

Abstract: With the development of network technology, there is a large amount of traffic data in the network at all times. In order to maintain network order and prevent attackers from damaging it, it ...