Tech Xplore

With machine learning, researchers embrace the atomic-scale complexity of batteries

For grid-scale energy storage and national energy resilience, the U.S. needs better batteries. Lawrence Livermore National ...
Unite.AI

Andrew Ray, Chief Product and Innovation Officer at Ensemble – Interview Series

Andrew Ray, Chief Product and Innovation Officer at Ensemble, brings deep experience at the intersection of healthcare finance, revenue cycle operations, product strategy, and innovation. At Ensemble, ...
InsuranceNewsNet

Researchers at University Gadjah Mada Report Research in Machine Learning (Landscape of Machine Learning for Health Insurance Fraud Detection: Global Evidence and Lessons for ...

By a News Reporter-Staff News Editor at Health Policy and Law Daily-- Researchers detail new data in artificial intelligence. According to news originating from Yogyakarta, Indonesia, by NewsRx ...

Advancing Neurological Disease Prediction through Machine Learning Techniques

A study explores how AI and ML can improve early detection of neurological diseases, including Parkinson’s disease, ...
Tech Xplore

Self-driving cars: Near-miss driving data can expedite AV algorithm training

The safety performance of autonomous vehicle (AV) algorithms is boosted by 90% using simulation data that better incorporates ...
IEEE

AdaBoost ensemble learning algorithm for precision manufacturing of aerosol jet printing

Abstract: Aerosol jet printing (AJP) is a hotspot technic applied in customized microelectronic component manufacturing due to its high design flexibility and capability for fine feature deposition.
IEEE

Stacked Ensemble Deep Random Vector Functional Link Network With Residual Learning for Medium-Scale Time-Series Forecasting

Abstract: The deep random vector functional link (dRVFL) and ensemble dRVFL (edRVFL) succeed in various tasks and achieve state-of-the-art performance compared with other randomized neural networks ...