Aim and Scope
The Advanced School on AI and Intelligent Systems: Design, Engineering and Architectures aims to foster academic excellence, interdisciplinary collaboration, and international networking by bringing together PhD students, early-career researchers, and senior experts from both academia and industry. Participants will have the opportunity to explore recent advances in AI-driven design and engineering of intelligent systems through an enriching program that combines cutting-edge scientific developments with opportunities for cultural exchange. In particular, the School focuses on the foundations, methodologies, and tools for the design, engineering, and architecture of AI and machine learning systems. Topics include communication architectures and technologies, advanced computing paradigms, digital circuit design and
synthesis, embedded systems design, emerging technologies and applications, as well as low-power, energy-efficient, and thermal-aware design. Additional areas of interest encompass security, sensing and signal processing, smart systems and devices, system specification, simulation and verification, testing, and dependability. These methodologies are further extended to interdisciplinary domains such as computational biology and personalized medicine, leveraging the integration of next-generation biological data, including spatially resolved omics and high-throughput sequencing. This includes the development of predictive models for personalized therapies and cheminformatics approaches for drug discovery.
LECTURES
Prof. Giovanni De Micheli
EPFL, Switzerland
Design of Complex Heterogeneous Systems with Emerging Technologies
Prof. Ian O'Connor
École Centrale de Lyon, France
Building Energy-Efficient, High-Performance Circuits and Architectures Tailored to Machine Learning Computation
Prof. Elham Azizi
Columbia University, USA
AI for Cellular Dynamics: From Generative Models to Precision Therapies
TUTORIALS
Tutorials will concern emerging technologies in the following fields, with the goal of providing students with a homogeneous background ranging from AI architectures to application without forgetting verification and testing issues.
Lorenzo Ruggeri
University of Verona, IT
Scaling Deep Networks with Maximal Update Parametrization
Prof. Yuanqing Cheng
Beihang University, CN
Clock Network Synthesis - The Art To Keep Synchronous with Digital World
Prof. Franco Fummi
University of Verona, IT
Tech4Life: An Innovation Network for the Future of Intelligent Healthcare
Dr. Eva Viesi, Dr. Gustavo Cárdenas & Dr. Ugo Perricone
Ri.MED Foundation, IT
AI in Cheminformatics
Prof. Wei Xing
University of Sheffield, UK
AI Applications in Industrial Engineering