News and Blog – ANGLE Lab

The distinct and unique papillae on the tongue: A 3D study with AI and TDA

Our paper Machine learning and topological data analysis identify unique features of human papillae in 3D scans was published today. We took 3D meshes of human tongue surface, isolated the papillae, and built features and classifiers. The classifiers not only detect the type of papillae correctly, they also identify the participant from a single papilla! […]

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Improving your technical writing

writing and presentation / Rik

What you write determines the success of your report or paper. But writing well is hard, even for professional writers and scientists. If you have ever struggled to understand a paper, you probably know what I mean. The following are books and softwares that help to make writing clear and interesting. A classic book in

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Setting up Machine learning on Informatics GPU Clusters

software / Rik

Update: pytorch is discontinuing support for conda, and recommends using pip instead. So this set of instructions is outdated. With this adaptation, the rest if the instructions should still be useful. This post is the sequence of steps I took to set up machine learning on the School of Informatics Research and Training cluster. If

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PhD position in Machine Learning Algorithms and Theory

Positions / Rik

Multiple positions in ML algorithms, theory and experimental work. Recruitment starting Nov 2023. Opprtunities for research in many interesting areas — algorithms, geometry, privacy, fairness, explainability etc. Students with interest in these areas are invited to get in touch. See more details at: https://homepages.inf.ed.ac.uk/rsarkar/positions

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Postdoc position in Data valuation and Decentralised Machine Learning

Positions / Rik

We have a 1 year postdoc position in Data valuation for AI and decentralised ML. This is an exciting fundamental project covering theory and applications. It is very flexible, with great opportunities for the postdoc to develop their own ideas in the area. See here for details: https://homepages.inf.ed.ac.uk/rsarkar/positions/Faircrowd2.html

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