Cyber Security Seminar by Andrea Agiollo MSc - Resource-Friendly Artificial Intelligence

please join in meetingroom C , 02. 260 / ECHO-2nd floor or through zoom:

Join Zoom Meeting
https://tudelft.zoom.us/j/92556510402?pwd=SXU2TVVmRHpRSEFMN1hKbVA0Z2Nqdz09

Meeting ID: 92556510402
Passcode: 972388

Abstract:
Artificial Intelligence has proven to be successful for the most diverse tasks and applications, attracting the interest of industries and investors. However, the application of common AI techniques to many real-world scenarios characterised by scarse resources is still an open issue. Indeed, the most powerful and popular AI tools —e.g., Neural Networks, Transformers, etc. — demand for heavy computational requirements. In this talk we will present the recent advancements in the resource-friendly AI realm, presenting various approaches for compressing AI, constructing more efficient models and integrate AI with symbolic components to ease their computational burden, focusing on possible cybersecurity entanglements.

Short bio:
Andrea Agiollo received the Bachelor of Information Engineering degree from the University of Padua, Italy, in 2018, the first master’s degree in information and communication technologies for Internet and multimedia from the University of Padua in 2020, and the second master’s degree in communication engineering from National Taiwan University, Taiwan, in 2020. He is currently pursuing the Ph.D. degree in computer science and engineering with the University of Bologna, Italy, with the collaboration of Electrolux Professional S.P.A. He is conducting research on fields, including Machine Learning (ML), Internet of Things (IoT), and eXplainable Artificial Intelligence (XAI).