Hi there, I'm Jack Taylor! I am a software engineer based in the UK, interested in all things AI and HPC. This year, I happily joined the Deep Learning Frameworks group at AMD.

🏫 Publications · Google Scholar

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2022-08: Deep Learning-based Blind Denoising for Enhancing Energy-dispersive X-ray Spectroscopy (EDS) Images - Jack Taylor, Ke Chen, Yalin Zheng and Nigel D. Browning.

2022-08: Efficient Sampling and Reconstruction Strategies for in-situ SEM/STEM - N. D. Browning, M. Bahri, J Castagna, K. Chen, B. L. Mehdi, D. Nicholls, W. Pearson, A. W. Robinson, J. Taylor, J. Wells and Y. Zheng.

2021-04: How surrogate models can enable integration of experiments, big data, modelling and simulation Jack Taylor, Jony Castagna, Luke Mason, Vassil Alexandrov.

2021-04: A comparison of frameworks for hybrid programming with Graphics Processing Units Jack Taylor, Sue Thorne

2020-01: A fast parallel particle filter for shared memory systems Alessandro Varsi, Jack Taylor, Lykourgos Kekempanos, Edward Pyzer Knapp, Simon Maskell.

🔭 Patents

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2022-07 Trainable reconstruction of high-quality multi-band/hyperspectral electron microscopy images from auxiliary signal sources - GB ; 2211085.2 - Jack Taylor, Nigel Browning, Jack Wells, Daniel Nicholls, Alex Robinson