The IACR Privacy-Preserving Machine Learning (PPML) summer school will soon be organized at the IDEAS NCBR headquarters.
This is an offer addressed to students of master’s studies, doctoral students, postdocs from Poland and abroad, primarily in the fields of cryptography, mathematics, and theoretical computer science.
Privacy in machine learning is an important and exciting research topic that focuses on how to reap the benefits of machine learning techniques while keeping training data and learned models private.
In the second edition of the IACR Privacy-Preserving Machine Learning (PPML) school, lecturers with theoretical and practical experience will discuss a wide range of issues related to this topic, such as secure computing, differential privacy or federated learning.
More information and registration link: https://ideas-ncbr.pl/en/2nd-school-on-privacy-preserving-machine-learning-2023/
Humans do particularly well in solving complex reasoning tasks when we apply a mental process based on moving from one idea to a related one. Adaptive Subgoal Search co-created by dr. Tomasz Odrzygóźdź is a search method that adaptively adjusts the planning horizon that is inspired by human cognitive mechanisms to advanced mathematics and computer sciences.
The Doctoral School of Information and Biomedical Technologies of the Polish Academy of Sciences (PAN) and the artificial intelligence research and development center of IDEAS NCBR have established cooperation. The letter of intent signed on 4 April this year opens the way for joint education of postgraduate students working on new projects in the field of artificial intelligence and other IT solutions.
IDEAS NCBR Ltd. What is its main objective? – to increase the R&D&I (Research+Develop+Innovate) potential in the area of artificial intelligence and digital economy.
