The special Collection “Machine learning for automated experimentation in STEM” explores all aspects of the integration of machine learning (ML) into STEM to transform experimental workflows. This ...

In this April 2017 guide, The Royal Society provides a current-day assessment of the discipline of machine learning. 6 chapters, 128 pages. Machine learning is a branch of artificial intelligence that ...

Why it’s important not to over-engineer. Equipped with suitable hardware, IDEs, development tools and kits, frameworks, datasets, and open-source models, engineers can develop ML/AI-enabled, ...