The core objective of modern manufacturing is simple: achieve zero-defect production at scale. Yet, for decades, industrial quality control has been hamstrung by a structural paradox. Human inspection is well-known to be susceptible to fatigue.Moreover, there is the use of rigid pixel matching methods that are used by machine vision and fail to work effectively

George Mason’s AI in Public Health Summit examined what artificial intelligence could mean for health equity, education, and the future workforce.   The Future of Public Health in an AI-Enabled World with Dean Melissa Perry and Easan Selvan, National Director, Academic Medicine and Public Health, Microsoft. Photo by Heather Carroll/CPH For a field built to

Article Open access Published: 05 June 2026 S. Kripa1 & V. Jeyalakshmi1  Scientific Reports (2026) Cite this article We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and

Medical AI often optimizes end-to-end performance while offering post-hoc explanations, widening an epistemic gap between behavior and justified clinical claims. Interpretable models and XAI help, but are insufficient. We advocate governance by testability: preregistered empirical trials of causal alignment (avoiding shortcuts) and invariance across scanners, sites, and subgroups, plus monitoring and rollback. We propose Institutional

A smartphone-based artificial intelligence application can accurately and efficiently screen for rare ocular surface malignancies, potentially streamlining the referral process and increasing case detection rates. A smartphone-based, artificial intelligence (AI) tool, can screen for rare ocular surface malignancies with similar accuracy to specialist-graded slit-lamp exams, according to research published in JAMA Ophthalmology. The study suggests

The company leverages a machine learning model it created to verify proof-of-delivery photos submitted by drivers, ensuring each package was delivered ...

MIT, in collaboration with Georgia State University and a growing network of educational institutions, has announced expanded work under PATH (Pathways for AI Training and Hiring) — a multiyear initiative designed to scale effective, affordable, industry-aligned AI training for entry-level and current workers, with a particular focus on transforming community colleges into engines powering an

PARTNER CONTENT Partner retains sole responsibility for the content of this article Combining cloud data working with AI support could give researchers an edge. Produced by Digital tools can help automate the repetitive tasks involved in carrying out experiments, leaving scientists more time for creative work. Credit: Westend61/ Getty Images Formulation science is a complex