Machine learning added to NTN’s ABICS system reduces simulation time by more than 90 percent and automates dimension optimization for third-generation hub bearings, the company says.

Through his Google fellowship, Stoica seeks to apply model merging to create a cutting-edge vision encoder. A vision encoder ...

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...

In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...

Machine learning and other modeling approaches could aid in forecasting the arrival of floating Sargassum rafts that clog ...

Hyundai Motor Company’s labor union is drawing controversy after announcing a blanket refusal to allow the deployment of the ...

New research shows that gut bacteria and metabolites may reveal early warning signs of multiple gastrointestinal diseases. Scientists have uncovered biological signals in the gut that may make it ...

Abstract: In this article, three machine learning methods: Gradient Boosting Classifier, k-means clustering algorithm and Multilayer Perceptron (MLP) are introduced to identify particles in a TPC.

Traditional QSRR models are limited to single-column predictions, hindering adaptability across diverse LC setups in pharmaceutical settings. The new ML-based approach predicts retention times using ...

Affected by water level and rainfall, the failure probability of bank slope is of great time-dependent characteristics. Combining the random field theory with Monte Carlo simulation strategy to ...

Department of Computer Science, Duke University, Durham, North Carolina 27705, United States National Innovation Center for Advanced Medical Devices, Shenzhen 518131, China Shenzhen Institute of ...