A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

In this video, we will study Supervised Learning with Examples. We will also look at types of Supervised Learning and its ...

A new research paper was published in Volume 17, Issue 11 of Aging-US on November 26, 2025, titled “Epigenetic aging ...

Objective To examine whether a multicomponent commercial fitness app with very small (‘micro’) financial incentives (FI) ...

By training statistical and machine-learning models to predict expert visual scores, the study demonstrates that phenomics can match or outperform ...

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 ...

What if artificial intelligence could turn centuries of scientific literature—and just a few lab experiments—into a smarter, ...

Abstract: A machine-learning-assisted optimization (MLAO) method for antenna geometry design (AGD) (MLAO-AGD) is proposed. By combining machine learning (ML) methods, including a convolutional neural ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

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

Abstract: Machine learning draws its power from various disciplines, including computer science, cognitive science, and statistics. Although machine learning has achieved great advancements in both ...

In this paper, we introduce R-NET, an end-to-end neural networks model for reading comprehension style question answering, which aims to answer questions from a given passage. We first match the ...