Seminars

For centuries, unraveling the mysteries of nature through the lens of physics has captivated countless scientists.

Abstract not available

Many cloud and edge AI services today perform machine learning inference in real time on end user requests. Over time, however, models could degrade in accuracy due to data and concept drifts, and full retraining can be infeasible because of limited training data, long training delay, and prohibitive computational overhead.

The seminar will be an interdisciplinary journey between applications of Artificial Intelligence (AI) Computer Vision based methods to the field of Forensics and Biomedical Imaging.

Abstract not available

Equivariance can enhance the data efficiency of machine learning models by incorporating prior knowledge about a problem.
Thanks to their flexibility and generality, steerable CNNs are a popular design choice for equivariant networks.

*Abstract*

Stay tuned!

*Bio*

Yihang She is a first-year PhD student in Computer science at the University of Cambridge. His PhD focuses on the development of 3D vision algorithms to enable real-time and low-cost forest carbon estimation.

Abstract not available

Abstract not available

Abstract to be confirmed

Link to join virtually: https://cam-ac-uk.zoom.us/j/87421957265