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 ...
C&EN

Transferable and Transparent Energy Decomposition-Based Machine Learning Models for Computing Accurate Reaction Energetics

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. We present a transferable, interpretable, and modular machine-learning framework that ...
BroadwayWorld

Rogue Machine's ANTHROPOLOGY Comes to The Matrix Theatre

The North American Premiere of Lauren Gunderson’s anthropology, directed by John Perrin Flynn, will launch Rogue Machine’s new season on their mainstage. This high-stakes AI thriller is wrapped in ...
Frontiers

Constructing a neutrophil extracellular trap model based on machine learning to predict clinical outcomes and immune therapy responses in oral squamous cell carcinoma

1 Department of Stomatology, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China 2 Department of Cardiac Function, Cardiovascular Diagnosis and Treatment Center, Taihe Hospital, Hubei ...
IEEE

Non-Negative Matrix Factorization and Latent Semantic Analysis for Hybrid Feature Selection: A Proposed Machine Learning System for the Detection of Malicious Executable Files

Abstract: During a typical cyber-attack lifecycle, several key phases are involved, including footprinting and reconnaissance, scanning, exploitation, and covering tracks. The successful delivery of a ...
Scientific Research Publishing

Quan, J. and Sun, X. (2024) Credit Risk Assessment Using the Factorization Machine Model with Feature Interactions. Humanities and Social Sciences Communications, 11, Article ...

ABSTRACT: Credit risk assessment plays an important role in financial services by estimating the chance of a borrower defaulting. Recently, although the Large Language Models (LLMs) have demonstrated ...
Hosted on MSN

Logistic Regression Machine Learning Example ¦ Simply Explained

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...