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 ...
Research published through UCLA establishes frameworks for bilingual students' learning in digital mathematics environments, addressing critical gaps through analysis of teaching strategies, parental ...
Florida State University chemists have created a machine learning tool that can identify the chemical composition of dried ...
Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
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 ...
Water risk intelligence firm Fathom has launched FathomDEM+, a global terrain dataset designed to provide a single, uniform, ...
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.
The Microsoft Copilot Usage Report 2025 shows that language learning and translation rank among Copilot’s top use cases.
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