Musculoskeletal (MSK) conditions drive a large share of global pain, disability, and lost productivity. Rehabilitation can be effective, but outcomes vary ...
Over the past decades, computer scientists have developed increasingly advanced artificial intelligence (AI) systems that ...
Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...
(2026) AI Assisted Material Selection Framework for Corrosion Resistant Steels in Onshore Oil and Gas Pipelines. Open Journal ...
The Brighterside of News on MSNOpinion
Machine-learning analysis reclassifies armed conflicts into three new archetypes
There is often no straightforward explanation for the various types of violence that occur around the world. In fact, even ...
Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...
Abstract: Optimization-based meta-learning methods for few-shot one-class classification (FS-OCC) aim to fine-tune a meta-trained model to classify the positive and negative samples using only a few ...
Abstract: Multi-task learning (MTL) is a standard learning paradigm in machine learning. The central idea of MTL is to capture the shared knowledge among multiple tasks for mitigating the problem of ...
Aim: Specific, Measurable, Achievable, Realistic, Time-bound (SMART) goals are commonly used in educational settings as a strategy to optimise learning. However, research and theory suggest that such ...
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