Curious about abstract art? This blog breaks down must-know styles to help you understand and enjoy this colorful world of ...

June 16, 2025 Purpose: To assess the agreement between routine-dose (RD) and lower-dose (LD) contrast-enhanced CT scans, with and without Digital Imaging and Communications in Medicine–based deep ...

What is supervised learning and how does it work? In this video/post, we break down supervised learning with a simple, real-world example to help you understand this key concept in machine ...

Abstract Derivational Morphology Reveals Analogical Generalization in Large Language Models What mechanisms underlie linguistic generalization in large language models (LLMs)? This question has ...

Members of the research community at Microsoft work continuously to advance their respective fields. Abstracts bring its audience to the cutting edge with them through short, compelling conversations ...

Math fluency requires more than just memorizing facts and procedures, but also knowing how and when to use them.

ABSTRACT: The stochastic configuration network (SCN) is an incremental neural network with fast convergence, efficient learning and strong generalization ability, and is widely used in fields such as ...

Abstract P2057: Virtual Hypertension Control Training and Technical Assistance Curriculum Design Helps Meet Community Health Center Learning Needs ...

The aim of our study was to determine whether prostate cancer detection models generalize across sample types or if sample-type-specific models are required for accurate cancer detection. We conducted ...

Therefore, our study seeks to investigate how VR can specifically improve poetry learning. Conventional teaching methods often struggle to make abstract and intangible poetic concepts vivid and ...

Google has updated its machine learning crash course with new videos and modules on large language models and automated machine learning. These courses are useful introductions to the technologies ...