Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...

Objectives Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room ...

Managing a medical supply chain in low- and middle-income countries can mean navigating a landscape prone to extreme and ...

The Council for the Indian School Certificate Examinations (CISCE) has released the ISC Computer Science (Subject Code - 868) for the Year 2027 evaluation cycle. It is designed specifically to make ...

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

Leaf functional traits—chlorophyll (CHL), carotenoid (CAR), equivalent water thickness (EWT), nitrogen (N), and leaf mass per ...

Abstract: In this letter, we consider the concept of mobile crowd-machine learning (MCML) for a federated learning model. The MCML enables mobile devices in a mobile network to collaboratively train ...

This is an open collection of methodologies, tools and step by step instructions to help with successful training and fine-tuning of large language models and multi-modal models and their inference.

Abstract: This study proposes a machine learning based methodology for estimating Arctic thin sea ice thickness (up to 1 m) from brightness temperature measurements of SMOS. The approach involves ...

Experiment with science, art, technology, and delightful ideas. The Tinkering Studio is primarily an R&D laboratory, so whenever possible we try to share our projects, explorations, and developing ...

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