TU Wien: Studying the Big Bang with Artificial Intelligence

TU Wien: Studying the Big Bang with Artificial Intelligence. “It could hardly be more complicated: tiny particles whir around wildly with extremely high energy, countless interactions occur in the tangled mess of quantum particles, and this results in a state of matter known as ‘quark-gluon plasma’. Immediately after the Big Bang, the entire universe was in this state; today it is produced by high-energy atomic nucleus collisions, for example at CERN. Such processes can only be studied using high-performance computers and highly complex computer simulations whose results are difficult to evaluate. Therefore, using artificial intelligence or machine learning for this purpose seems like an obvious idea. Ordinary machine-learning algorithms, however, are not suitable for this task. The mathematical properties of particle physics require a very special structure of neural networks. At TU Wien (Vienna), it has now been shown how neural networks can be successfully used for these challenging tasks […]

Neowin: Neural networks are now being used to track exotic particles at CERN

Neowin: Neural networks are now being used to track exotic particles at CERN. “Research within the domain of physics has profited from the rise of artificial neural networks and deep learning. In the past, we’ve seen them being applied to study dark matter and massive galaxies. Continuing this pattern, we now have artificial neural networks being used in the study of exotic particles.”