
Deep Neural Networks Can Make Particle Physics Experiments Less Costly
An international collaboration including researchers from the HSE Faculty of Computer Science has proposed a new approach to designing detectors used for experiments in elementary particle physics. The novel approach, which involves differentiable programming and deep neural networks, will optimise the instruments’ performance and enhance the scientific value of the experimental results.
Registration deadline - April 30