The increasing global demand for sustainable energy and carbon materials, alongside pressing environmental concerns, necessitates innovative approaches to resource management. Biomass, a versatile ...
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 ...
In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...
David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...
As AI's integration in the process of designing and improving industrial infrastructure progresses, governance needs to ...
The clever Bean Adapt system built into this $2,500 machine allows it to automatically craft perfect coffee drinks with ...
A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...
A new study led by Dr. Andrea Nini at The University of Manchester has found that a grammar-based approach to language ...
The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...
The latest boom in robotics represents a revolution in the way machines have learned to interact with the world.
AI has shifted from a supportive technology into the core engine of digital product development. In my project experience ...
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