I will give a brief introduction to modern machine learning and deep learning techniques aimed at researchers planning to use them for X-ray and neutron scattering applications. Areas covered will include basic ML terminology and concerns, a quick tour of some probabilistic methods including Gaussian Processes (Kriging), and a discussion of modern neural methods including deep nets,...
The ESRF will soon restart after its Extremely Brilliant Source upgrade, which will provide two orders of magnitude improved photon flux for many experiments, and will also come with several new beamlines producing high-throughput data, from macromolecular crystallography to large volume tomography. This creates many challenges in terms of data handling, both from the point of view of the...
The use of artificial intelligence (AI) technologies, and of deep learning neural networks in particular, is already having a major impact on many aspects of our lives. The challenge for scientists is to explore how these technologies could have a similar impact for scientific discovery. Already Google DeepMind’s AlphaFold tool has achieved some impressive results for protein folding...
