Frontiers

Ubiquitous Musical Signal Processing, Machine Learning, and Large Language Models

Despite recent advances in musical signal processing, little attention has been given to the demands of nontechnical stakeholders. The reduction of ...
eLife

New idtracker.ai rethinks multi-animal tracking as a representation learning problem to increase accuracy and reduce tracking time

Identification of each animal in a collective becomes possible even when individuals are never all visible simultaneously, enabling faster and more accurate analysis of collective behavior.

In bone imaging, machine learning accelerates research progress and uncovers hidden patterns

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...
News-Medical.Net

New method boosts AI-driven protein engineering with massive data

Protein engineering is a field primed for artificial intelligence research. Each protein is made up of amino acids; to ...
EurekAlert!

AI model boosts accuracy and reliability in predicting biochar production

Researchers have developed a powerful new artificial intelligence model that can accurately predict biochar yield and composition, helping scientists and industry optimize production while reducing ...
IEEE

Feature extraction and classification of semiconductor wafer surface flaw utilizing convolutional autoencoder interfacing with extreme learning machine

Abstract: This study investigates wafer defect classification using a Convolutional Autoencoder (CAE) to reduce dimensionality, retain key features, and remove redundancy, enhancing classifier ...
IEEE

Somatic Mutation Driven Cancer Stage Classification via Autoencoder Clustering and Explainable Deep Learning

Abstract: The identification of the site of origin, stage and driver genes of cancer is important for the improved prognosis of cancer patients. Publicly available somatic mutation data and machine ...