News

The #AkcjaWeryfikacja conference will be held at the Faculty of Law and Administration of the University of Warsaw on December 1. The project is implemented by the Coopernicus initiative in cooperation with NASK Science. This unique initiative aims to expand students’ awareness of the verification of content available on the Internet and the regulation of artificial intelligence.

Have you ever wondered how soccer, Singapore and artificial intelligence are connected? What exactly is multimodality and how it relates to NASK SCIENCE? Probably not. All of these threads will soon be brought together by Karolina Seweryn, a PhD student in the Department of Data Science at NASK SCIENCE, at the seminar “Multi-modal Learning in Soccer” at the School of Computing and Information Systems in the Singapore Management University on December 11. Are you around?

On December 5, during the OH MY H@CK 2023 conference, Jan Adamski and Marcin Rytel from the NASK SCIENCE team will present new data on a critical vulnerability in the API of one of the manufacturers of popular devices during their lecture “Security research of IoT devices.” The vulnerability they detected allows a device to be remotely (via the Internet) added to a personal user account and remotely controlled, without any authorization.

We encourage you to submit papers for the 4th edition of the International Worskhop on Secure Mobile Computer Systems (IWoSeMCS-24) organized as part of the 24th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID 2024) conference. Both events will take place May 6-9, 2024 in Philadelphia. NASK is a partner of the workshop. The deadline for submission of papers is December 17, 2023.

Quantum computers have attracted a lot of attention in recent years due to their potential applications in many fields of both fundamental and applied science. However, the relative power of classical and quantum computers remains poorly understood, especially in the presence of noise affecting currently existing quantum devices. So how to simulate a quantum computer classically? Is it difficult? This question will be answered by Michal Oszmaniec, Ph.D., of the Department of Quantum Technologies, which is being established at NASK SCIENCE, during a seminar in October 23, at 11:00 in NASK.

In traditional expert-based systems, the source of information was reliable expertise. However, in learning-based systems, knowledge comes from data that is characterized by variation in quality, limited security and even implicit biases. This challenge requires us to be particularly sensitive to the reliability of systems based on machine learning. If we add to the credibility challenge the low public trust in artificial intelligence and the technology’s dizzying pace of development, the rank of the problem rises even more sharply. What are the sources of the lack of reliability of ML-based systems and how to remedy it, you can read in Dr. Mateusz Krzyszton’s article in the NASK publication “AI Cyber Security. AI in Cyber Security.”

The way the human brain works has inspired the developers of artificial neural networks. Will the roles now reverse and AI allow us to explore the mechanism of our brains? Join us for a seminar with Prof. Tomasz Wolak, who will visit NASK SCIENCE on October 4, at 10:00am, and talk about what are the differences and what are the similarities between artificial and biological intelligence.

XAI (explainable artificial intelligence) techniques offer tools for in-depth analysis of predictive models, also in terms of identifying potential vulnerabilities. This is what Prof. Przemyslaw Biecek will talk about during his seminar on October 11. Join us for a lecture entitled ‘Red-Teaming AI models – how and why to use XAI to analyze predictive models.’

NASK SCIENCE researchers are getting into your home!? Not really, of course, but they’re also concerned about your safety, examining smart home solutions hitting the market. One vulnerability of such a device was recently discovered by us and fixed by the producer.

How to address the topics of ethics, privacy and personal data in research projects? How to properly incorporate these aspects into data processing and interpretation? What is and should be the interaction between technology development and the legal or ethical dimensions of security and privacy?