Scientific Research Publishing

A Material Removal Prediction Framework for Ball EEM Polishing in Precision Lens Manufacturing ()

Young, T. , Guymon, J. , Pankow, M. and Ngaile, G. (2026) A Material Removal Prediction Framework for Ball EEM Polishing in ...
IEEE

Machine Learning based Controller using Gaussian Process Regression in Electric Motors: Interpretability, Safety and Reliability

Abstract: In industrial applications, proportional-integral (PI) controllers are frequently employed for controlling permanent magnet synchronous motors (PMSMs) due to their fast response rate and ...
eLife

Learning sequence-function relationships with scalable, interpretable Gaussian processes

This important work introduces a family of interpretable Gaussian process models that allows us to learn and model sequence-function relationships in biomolecules. These models are applied to three ...
InfoWorld

AI and machine learning outside of Python

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.
National Academies of Sciences%2c Engineering%2c and Medicine

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
Brown University

Researchers uncover similarities between human and AI learning

PROVIDENCE, R.I. [Brown University] — New research found similarities in how humans and artificial intelligence integrate two types of learning, offering new insights about how people learn as well as ...
IEEE

Episodic Gaussian Process-Based Learning Control With Vanishing Tracking Errors

Abstract: Due to the increasing complexity of technical systems, accurate first principle models can often not be obtained. Supervised machine learning can mitigate this issue by inferring models from ...
Phys.org

Gaussian processes provide a new path toward quantum machine learning

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...
AppleInsider

Apple Silicon machine learning code may become more easily portable to Nvidia hardware

A project is trying to cut the cost of making machine learning applications for Nvidia hardware, by developing on an Apple Silicon Mac and exporting it to CUDA. Machine learning is costly to enter, in ...