Tech Xplore on MSN

Machine learning used to calibrate emissions control systems faster, more efficiently

Southwest Research Institute (SwRI) has developed a method to automate the calibration of heavy-duty diesel truck emissions ...
Communications of the ACM

Integrating Machine Learning into Physical Security Architecture

The integration of AI, specifically machine learning, into physical security architecture shows promise in helping organizations better identify threats, improve response times and aid security ...
VentureBeat

OctoML transforms machine learning models into software functions

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More When it comes to deploying machine learning (ML) models in the enterprise ...
Purdue University

In Print: ‘An Introduction to Optimization: With Applications to Machine Learning’

Purdue faculty dedicate countless hours to exploring the frontiers of their respective fields, pushing the boundaries of knowledge and contributing to the ever-evolving landscape of academia. To ...
EurekAlert!

Machine learning takes biochar dye cleanup to the next level

Industrial dyes used in textiles, plastics, paper, and cosmetics make wastewater vividly colored and potentially toxic. Many ...
manilatimes

Aether Pro Exchange Transforms Execution Dynamics with Machine-Learning Optimization

Aether Pro Exchange enhances global trading efficiency and precision through adaptive machine-learning integration. Los Angeles, CA, Oct. 14, 2025 (GLOBE NEWSWIRE) -- Aether Pro Exchange has announced ...
Quanta Magazine

What Is Machine Learning?

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...
GEN

Beyond Folding: Machine Learning Designs Intrinsically Disordered Proteins

For decades, scientists have relied on structure to understand protein function. Tools like AlphaFold have revolutionized how researchers predict and design folded proteins, allowing for new ...