Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...
With a years-long shift to skills-based instruction and grading, this district found an unexpected outcome—an increase in AP ...
This project presents a deep learning–based hip joint keypoint detection system designed to assist the measurement and grading of Developmental Dysplasia of the Hip (DDH) in pediatric patients. The ...
Effective classroom management allows educators to shape a positive learning environment that benefits all students.
What does it truly mean to master something? In simple terms, it means to hold the aces in a given field, industry or craft — to push the limits in a specialty that comes with a fervent and consistent ...
Abstract: In industrial 3-D metrology, the low signal-to-noise ratio (SNR) issue is commonly encountered, due to inappropriate illumination intensity, limited imaging dynamic range, or complex scene ...
Views on the ways AI is changing test & measurement. What is the trustworthiness of AI? Artificial intelligence (AI) has the potential to transform every stage of product lifecycles, from design and ...
Elissa Tucker is Principal Research Lead, Human Capital Management (HCM), at APQC. Drawing on more than 20 years of experience in human resources research, writing and advising, Elissa develops and ...
Abstract: This article explores the impact of distribution shift in traffic signal control using reinforcement learning agents. Distribution shift occurs when the data distribution during deployment ...
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