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 ...

Florida State University chemists have created a machine learning tool that can identify the chemical composition of dried ...

Research published through UCLA establishes frameworks for bilingual students' learning in digital mathematics environments, addressing critical gaps through analysis of teaching strategies, parental ...

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

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 ...

Deep learning (DL) is a type of artificial intelligence (AI) that utilizes artificial neural networks (ANNs) to process data through two or more layers, each of which can recognize complex features of ...

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 ...

Data science has moved from a niche technical discipline to a core function across industries. Organizations now rely on data-driven decision-making in areas ranging from finance and healthcare to ...

We independently evaluate all of our recommendations. If you click on links we provide, we may receive compensation. Michael is a former senior editor of investing and trading products for ...

Li, H. (2026) A Study on the Impact of New Media on College Students’ Oral English Learning —Taking English Content Creators on Bilibili as an Example. Open Access Library Journal, 13, 1-18. doi: ...