Describe the concept of topic modeling and related terminology (e.g., unsupervised machine learning) Apply topic modeling to marketing data via a peer-graded project Apply topic modeling to a variety ...

Some of the models used to forecast everything from financial trends to animal populations in an ecosystem are incorrect, ...

Digital twins—predictive computer simulations of drug production processes—are only as good as the software from which they are constructed. The key to building them, say researchers, is knowing which ...

The fields of quantum algorithms and automata theory are converging to offer transformative insights into computational complexity and efficiency. Quantum algorithms utilise the principles of quantum ...

An academia-industry collaboration developed a new sampling algorithm for Design of Experiment intending to democratize experimental design.

Employers are increasingly automating recruiting processes during the COVID-19 pandemic, according to sources who previously spoke to HR Dive. Virtual skill assessments, screening tools, on-demand ...

The field of computational materials science has been profoundly transformed by integrating deep learning and other machine learning methodologies. These sophisticated data-driven approaches have ...

Synthesis using physical modeling has a long history. As computational costs for physical modeling synthesis are often much greater than for conventional synthesis methods, most techniques currently ...