AI and nuclear physics

Artificial Intelligence has permeated various spheres of human life. AI-based approaches are used in nuclear science, among other things, and can benefit human health and facilitate experiments and tests in nuclear fusion. The potential of neural networks for nuclear physics is hard to overestimate. Let’s take a look at a few of the main uses of AI in nuclear science.

AI in cancer therapy. Artificial intelligence can help medical professionals diagnose and treat cancer by better interpreting images, creating refined treatment plans, and identifying tumor contours, and through adaptive irradiation, a process of radiation treatment that varies depending on the individual anatomy of the individual patient.

Advancing fusion testing with artificial intelligence technologies. Nuclear fusion opens up the possibility of producing safe and stable energy in a significant amount. But all research in this field requires a significant effort in terms of theoretical activity, so AI techniques allow accelerated progress in the realization of theoretical data by analyzing the maximum amount of data extracted from practical experiments and simulation data. AI is also excellent for optimizing the planning of scientific experiments, it allows accelerating the progress of new information and optimizing plasma control scenarios in real time using algorithms that have been extracted from massive databases obtained from experimental facilities around the world.

New discoveries. As experiments that produce large amounts of data become more complex, automatic event classification becomes increasingly important. This is where deep learning methods offer many interesting avenues of research. Reconstructing particle trajectories or classifying events are typical examples of using machine learning techniques. However, because these data can often be quite noisy, the accuracy required for physical discovery requires improvements in algorithms.

Research in areas such as coupling nuclear physics with AI is expected to play a significant role in physics discoveries related to new setups. The processing of corrupted data in imaging and image processing is also a hot topic.AI and nuclear physics

Artificial Intelligence has permeated various spheres of human life. AI-based approaches are used in nuclear science, among other things, and can benefit human health and facilitate experiments and tests in nuclear fusion. The potential of neural networks for nuclear physics is hard to overestimate. Let’s take a look at a few of the main uses of AI in nuclear science.

AI in cancer therapy. Artificial intelligence can help medical professionals diagnose and treat cancer by better interpreting images, creating refined treatment plans, and identifying tumor contours, and through adaptive irradiation, a process of radiation treatment that varies depending on the individual anatomy of the individual patient.

Advancing fusion testing with artificial intelligence technologies. Nuclear fusion opens up the possibility of producing safe and stable energy in a significant amount. But all research in this field requires a significant effort in terms of theoretical activity, so AI techniques allow accelerated progress in the realization of theoretical data by analyzing the maximum amount of data extracted from practical experiments and simulation data. AI is also excellent for optimizing the planning of scientific experiments, it allows accelerating the progress of new information and optimizing plasma control scenarios in real time using algorithms that have been extracted from massive databases obtained from experimental facilities around the world.

New discoveries. As experiments that produce large amounts of data become more complex, automatic event classification becomes increasingly important. This is where deep learning methods offer many interesting avenues of research. Reconstructing particle trajectories or classifying events are typical examples of using machine learning techniques. However, because these data can often be quite noisy, the accuracy required for physical discovery requires improvements in algorithms.

Research in areas such as coupling nuclear physics with AI is expected to play a significant role in physics discoveries related to new setups. The processing of corrupted data in imaging and image processing is also a hot topic.