Lorenz Kuger

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Magnetic fields and imaging technologies

Magnetic fields are at the core of many imaging technologies. A widely known modality is MRI, a standard procedure in medical imaging, which is however limited by a long scanning time and the ability to only image anatomical regions containing sufficient amounts of water. The more recent magnetic particle imaging (MPI) instead promises functional images of the dynamics of nanoparticle tracers with high temporal resolution.

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The latest research in training modern machine learning models: ‘A deterministic modification of gradient descent that avoids saddle points

Machine learning models, particularly those based on deep neural networks, have revolutionized the fields of data analysis, image recognition, and natural language processing. A key factor in the training of these models is the use of variants of gradient descent algorithms, which optimize model parameters by minimizing a loss function. However, the training optimization problem for neural networks is highly non-convex, presenting unique challenges.

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The PageRank algorithm analysed by EJAM

The PageRank algorithm was developed by Google co-founder Larry Page, and first introduced in 1998. It is based on the idea that a website’s importance can be measured by the number of other websites that link to it. Here, EJAM researchers study the PageRank algorithm.

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