New research shows learning erosion is real—but evidence-anchored design, governance, and assessment can turn AI into an ...
Florida State University chemists have created a machine learning tool that can identify the chemical composition of dried ...
Please provide your email address to receive an email when new articles are posted on . Researchers are using machine learning to identify data-driven PCOS subtypes. Findings may lead to more precise ...
In recent years, JupyterLab has rapidly become the tool of choice for data scientists, machine learning (ML) practitioners, and analysts worldwide. This powerful, web-based integrated development ...
Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...
Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
Identify needs, which may include the learning context and audience. How do you get there? Start with writing goals and learning objectives, then focus on assessments, learning activities, and ...
One of the biggest risks in learning ecosystems is scatter — consuming interesting but irrelevant content, or spending too much time researching for the right materials.
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