How data provenance tracking builds resilience

In practice, enterprises that embrace provenance transform uncertainty into clarity. They gain the ability to not only ...
Chromatography Online

A Novel Machine Learning Method for Predicting Retention Time of Small Molecule Pharmaceutical Compounds Across Reversed-phase HPLC Columns

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

DNA caught on old air filters reveals hidden past of ecosystems

DNA captured on air filters and stored since the 1960s acts as an ecological time capsule, according to a recent publication ...
Interesting Engineering

‘Star in a jar’: UK achieves 1,000 times faster 5D plasma modeling for nuclear fusion

AI tool GyroSwin simulates fusion plasma in seconds, cutting costs and speeding the design of future fusion power plants.

Neel Somani on How Privacy-Preserving Machine Learning Is Changing the Digital Landscape

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...
Open Access Government

Leveraging machine learning and robust small area estimation methods for stand-level forest inventory

This special report introduces small area estimation as a modern approach for producing reliable, stand-level forest ...
Tech Xplore

'Periodic table' for AI methods aims to drive innovation

Artificial intelligence is increasingly used to integrate and analyze multiple types of data formats, such as text, images, ...
Tech Xplore

AI training method slashes pre-training time by 50% while boosting accuracy

A much faster, more efficient training method developed at the University of Waterloo could help put powerful artificial ...
Phys.org

Machine learning beats classical method in predicting cosmic ray radiation near Earth

Cosmic rays are high-energy particles that constantly bombard Earth from space and are influenced by the sun's magnetic activity. When the sun is active, fewer of these particles reach Earth; when the ...
IEEE

Tracking Error Prediction and Compensation of Industrial Robot Considering Dynamical Factors via Physics-Informed Machine Learning

Abstract: Tracking error prediction and compensation is essential to ensure the accuracy of robotic motion trajectories in various tasks. Due to the structural ...
Frontiers

A machine learning-based depression risk prediction model for healthy middle-aged and older adult people based on data from the China health and aging tracking study

1 School of Health Management, Changchun University of Traditional Chinese Medicine, Changchun, China 2 School of Humanities and Management, Zhejiang Chinese Medical University, Hangzhou, China ...