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, ...
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.
EurekAlert!

Image-based machine learning framework sharpens battery health estimation across varying conditions

Researchers have developed an integrated framework for estimating battery state of health, or SOH, by combining incremental ...
Science Daily

Researchers use machine learning to detect defects in additive manufacturing

Researchers have developed a new method for detecting defects in additively manufactured components. Researchers at the University of Illinois Urbana-Champaign have developed a new method for ...
Frontiers

AI & Machine Learning in the Diagnosis and Care of Head and Neck Cancers

Head and neck cancers represent a biologically heterogeneous group of malignancies requiring accurate diagnosis, staging, and risk stratification for ...

Duolingo: The Market Underestimates Its Behavioral Monetization Engine

The market is overestimating AI disruption and misreading Duolingo management’s new strategy. Read why I rate DUOL stock as a ...