Ambassadors

Introduction Recycling plays a critical role in reducing waste, conserving natural resources, and minimizing environmental pollution. Educating students about recycling…

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Near the start of every school term we publish a newsletter to highlight Materials Science and Engineering in the news,…

by Phoebe May Nickel might not sound like the most exciting metal, but it is everywhere – from the coins…

This project has been developed by the Materials Made Smarter Centre at Swansea University in collaboration with the Sustain Manufacturing Research Hub and Discover Materials to demonstrate how Computer Vision and Machine Learning can be used to recognise different objects to help with the sorting of materials for recycling.

⇐ BACK TO MAIN ARTICLE The process of learning any new skill, like riding a bike, takes a lot of…

⇐ BACK TO MAIN ARTICLE When using computing platforms with limited resources it is common to have multiple units and…

⇐ BACK TO MAIN ARTICLE The human brain is a web of approximately 86 billion interconnected neurons, which collect electrical…

⇐ BACK TO MAIN ARTICLE As discussed in 03 Machine Learning and Neural Networks [ ↵ ], using an existing…

We’ve all heard of the circle of life here on earth, but have you ever wondered further afield? Did you…