Introduction to the virtual collection of papers on Artificial neural networks: applications in X-ray photon science and crystallography .
Tomas EkebergPublished in: Journal of applied crystallography (2024)
Artificial intelligence is more present than ever, both in our society in general and in science. At the center of this development has been the concept of deep learning, the use of artificial neural networks that are many layers deep and can often reproduce human-like behavior much better than other machine-learning techniques. The articles in this collection are some recent examples of its application for X-ray photon science and crystallography that have been published in Journal of Applied Crystallography .
Keyphrases
- neural network
- artificial intelligence
- deep learning
- machine learning
- public health
- big data
- high resolution
- endothelial cells
- living cells
- dual energy
- convolutional neural network
- systematic review
- induced pluripotent stem cells
- randomized controlled trial
- magnetic resonance
- computed tomography
- pluripotent stem cells
- monte carlo
- virtual reality