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Linear regression using gradient descent explained simply

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient ...
Tech Xplore

Reinforcement learning accelerates model-free training of optical AI systems

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
IEEE

Uncertainty as a Predictor of Classification Accuracy in Machine Learning-Assisted Measurements [Measurement Methodology]

Abstract: Like other sectors of the industry, instrumentation and measurement (I&M) in the past few years has witnessed the significant rise of Machine Learning (ML) in its domain [1]. In I&M, ML is ...
Fox News

USPS worker found dead inside mailing machine in Michigan: 'Deeply saddened by the loss'

A U.S. Postal Service employee died after he became stuck inside a mail handling machine at a distribution center in Allen Park, Michigan, according to officials. Nicholas John Acker, 36, was stuck in ...
IEEE

Machine Learning Framework for Industrial Machine Sound Classification in Predictive Maintenance

Abstract: Predictive maintenance, utilising anomalous sound classification, demonstrates a strong potential to identify mechanical faults in industrial machinery. This research proposes a machine ...
Machine Design

Yaskawa: Impacts on Linear Motion Selection, Optimization, and Integration

This eBook places the focus on the effective design of motion control solutions for industrial machinery. Learn about applications in Cartesian robots, or long-travel linear robots, where the ...
Frontiers

Migraine triggers, phases, and classification using machine learning models

1 San Juan Bautista School of Medicine, Caguas, Puerto Rico, United States 2 Independent Researcher, Monmouth County, NJ, United States Background: In many countries, patients with headache disorders ...
Machine Design

Linear Motion Design Considerations for Medical Device OEMs

The surging trend of integrating electric linear actuators into medical devices for advanced motion control demands that manufacturers must deeply consider their technology and partner selection and ...
C&EN

Mixed-Integer Linear Programming Formulation with Embedded Machine Learning Surrogates for the Design of Chemical Process Families

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. There is a need for design strategies that can support rapid and widespread deployment ...