Knowledge graphs and ontologies have emerged as pivotal tools in process engineering, enabling the integration, simulation, and optimisation of complex industrial processes. By providing a structured ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

In a bid to make the lives of enterprise data engineers and data scientists easier and developers easier, Google Cloud today announced the release of six new artificial intelligence agent tools. The ...

“Today’s disruptions demand fresh documentation,” said Trevor Owens, AIP’s Chief Research Officer. “To meet that need, we are ...

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 ...

Purdue’s innovative Master of Science in Data Science (MSDS) is an accessible, skills-focused master’s designed to meet the needs of professionals who have some background in data science and want to ...

As AI systems become more a part of our daily lives, the demand for people skilled in working with and building these systems will keep growing. In the past, data scientists were essential for ...

At Northwestern University, our first-of-its-kind materials science department collaborates extensively with our leading mechanical engineering department, resulting in a strong history of ...