EurekAlert!

Transforming acute exacerbations of chronic obstructivepulmonary disease (AECOPD) risk assessment: Amulti-algorithm machine learning approach for preciseclinical phenotyping

The workflow encompasses patient datacollection and screening, univariate regression analysis for initial variable selection, systematic comparison of 91 machine learning models,selection and ...
InfoQ

Growing and Cultivating Strong Machine Learning Engineers

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Scientific Research Publishing

Performance of Different Machine Learning Algorithms for Credit Risk Classification ()

1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...
The Conversation

Will AI make cheaper personalized insurance premiums possible? Here’s why it’s a slippery slope

Arthur Charpentier is a fellow of the Institut Louis Bachelier. He has received funding from the NSERC from 2019 to 2025, the AXA Fund for Research from 2020 to 2022, and the SCOR Foundation for ...
Wired

This AI Warps Live Video in Real Time

Dean Leitersdorf introduces himself over Zoom, then types a prompt that makes me feel like I’ve just taken psychedelic mushrooms: “wild west, cosmic, Roman Empire, golden, underwater.” He feeds the ...
IEEE

Benchmarking Machine Learning Algorithms for Bearing Fault Classification Using Vibration Data: A Deployment-Oriented Study

Abstract: This study presents a comprehensive benchmarking of 33 machine learning (ML) algorithms for bearing fault classification using vibration data, with a focus on real-world deployment in ...
news.bloomberglaw

Navigating a Patent Gap for AI and Machine Learning Algorithms

Patent applications on artificial intelligence and machine learning have soared in recent years, yet legal guidance on the patentability of AI and machine learning algorithms remains scarce. The US ...
EurekAlert!

Quantum computers boost machine learning algorithms

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...
ArchDaily

Between Algorithms and Ancestral Knowledge: Expanding the Concept of Architectural Intelligence

Historically, architectural intelligence has expressed our ability to respond to spatial, climatic, cultural, and functional challenges. Early on, this intelligence was intuitive and empirical, rooted ...
IEEE

Rainfall Classification Using Machine Learning Algorithms on Data Mining Platforms

Abstract: Weather conditions directly affect sectors such as agriculture and transport. With climate change, unpredictability is increasing and traditional calculation methods may not be sufficient.
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 ...