Although Google seems to be an omniscient entity and searching it seems the most effective way of finding information, for academic research, this may not be so. Google searches are great preliminary ...

Connected learning (CL) is not new, but many librarians struggle with embedding the concept into programming and services. “Library staffers still are uncertain what the [CL] framework actually ...

Meta AI has released LeanUniverse, an open source machine learning (ML) library designed to address the growing challenges of managing datasets in large-scale machine learning projects. Built on the ...

Over the past decade, learning engagement has received increasing attention from researchers. As a critical factor in college students’ academic achievement, learning engagement is significant in ...

Graph deep learning models, which incorporate a natural inductive bias for atomic structures, are of immense interest in materials science and chemistry. Here, we introduce the Materials Graph Library ...

TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models. If you’re starting a new machine learning or deep learning ...