Design of Experiments (DOE) is a powerful and pragmatic tool for optimisation but it’s not the only way. Could there be even more powerful alternatives in the age of machine learning, AI and ...

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, ...

Across almost any aspect science, technology, and biology, feedback loops emerge as a fundamental principle orchestrating the harmony between cause and effect, action and reaction. This concept, ...

Iteration has always been at the heart of human engagement and learning. From the probing questions of Socratic dialogues to the collaborative discussions in hospital rounds, and even the storytelling ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...