30 August 2019
Computer Science, Physics and AI- Super Somputers and Superphysics: from Artificial Intelligence to Black Holes
Module 1: Supercomputers and Superphysics – from Artificial Intelligence to Black Holes (weeks 1 and 2, 05.08. – 15.08.)
Rapid development of computer technologies has led to many-core computer architectures with thousands of computational elements in a single device. In addition to the quantitative growth, these devices operate simultaneously and in parallel. In addition, if operation of one computational element is similar to the rational analysis of a human brain, the parallel operation of thousand such computational elements is capable to reproduce activity of a human brain at its intuitive level.
Thus, artificial neural networks inspired by the work of the human brain have received a powerful boost for their application at the forefront of modern science, primarily in the analysis of data obtained at the Large Hadron Collider in CERN (Geneva), where experiments in high-energy and nuclear physics are aimed at studying a wide range of phenomena from the Higgs boson to the Big Bang and black holes.
Module 2: Artificial intelligence (AI): Modern Methods (weeks 2 and 3, 19.08. – 30.08.)
Goals of the course: The students will achieve working knowledge and hands-on experience with the modern methods of the fast-growing field of artificial intelligence.
What does the Deep-Learning-revolution mean for science and industry?
Which methods of machine learning exist and their relative pros and cons?
For which user cases is the application of these methods useful?
How do I build and train a neural network for a given problem?
Different types of neural networks (CNN, RNN, …)
Generative modelling (AE, VAE, GAN, ...)
Healthy scepticism: evaluation of performance and accuracy.
Discussion on ethics and privacy of data.
Prof. Ivan Kisel/Dr. Olena Linnyk
Requirements: Knowledge of advanced mathematics (calculus, statistics); at least one programming language (Python, Java, C++ or similar); at least 2 years of undergraduate studies or enrolment in master studies; topics of study: computer sciences, engineering, physics, mathematics, chemistry, biology or materials.
Extra Credits for the optional German Language Course: 3.0
EUR 2100: The programme fee for participants is 2,100 €. This includes:
– Academic Programme
– Optional German language courses in small groups
– All study material
– Cultural Programme: Frankfurt Summer School 2019 offers an extensive cultural programme including various activities ranging from excursions to site visits: Get to know the financial hub Frankfurt, visit Heidelberg with its historic castle and internationally renowned city centre, Strasbourg with its magnificent old town and the European Parliament and optionally also Berlin.
– Health, liability and accident insurance
– Transportation fee within Frankfurt
– Accommodation for the duration of the programme. Please note that the participants can book any alternative accommodation like a hostel or private accommodation on their own. They will receive a discount for the programme fee.