The Advanced School on AI and Intelligent Systems: Design, Engineering and Architectures has the goal of fostering academic excellence, interdisciplinary collaboration, and international networking by bringing together PhD students, early-career professionals, and senior experts from both academia and industry. Participants will have the opportunity of exploring advancements in topics related to the AI-based design and engineering of intelligent systems in an enriching program that merges scientific advancements with cultural exchange.
In particular, the school addresses foundations, techniques and tools concerning IFIP WG 10.5 topics like Applications and Architectures for AI and ML, Communication architectures and technologies, Computing paradigms, Digital circuits design and synthesis, Embedded system design, Emerging technologies and applications, Low-power, energy-efficient and thermal-aware design, Security, Sensing and signal processing technologies, Smart systems, devices and applications, System specification, simulation and verification, Test and dependability.
Prof. Matteo Sonza Reorda
Polytechnic of Turin, Italy
Dependability Issues in Intelligent Systems
Prof. Ibrahim Elfadel
Khalifa University, UAE
TBA
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.
Prof. Bing Li, University of Siegen, DE
AI for HLS
Prof. Yibo Lin, Peking University, CN AI for Floorplan & Placement
Prof. Jinjun Xiong, University of Buffalo, US AI for Timing Optimization
Prof. Yuanqing Cheng, Beihang University, CN AI for Thermal Modeling
Prof. Xing Hu, Institute of Computing Technology, CN AI for Microprocessor Design
Prof. Rosalba Giugno & Lorenzo Ruggeri, University of Verona, IT State Space Models: The Mamba Architecture
Prof. TBA, University of TBA AI for Parasitics Extraction
