Aim and Scope
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.
LECTURES
Prof. Matteo Sonza Reorda
Polytechnic of Turin, Italy
Dependability Issues in Intelligent Systems
Prof. Ibrahim Elfadel
Khalifa University, UAE
Topological Data Analytics for AI Pipelines
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.
Prof. Bing Li
University of Siegen
LLM-Assisted Design and Simulation with Testbenches
Prof. Vidya A. Chhabria
Arizona State University, US
AI for Physical Design: Overcoming Bottlenecks in Optimization, Analysis, and Automation
Prof. Jinjun Xiong
University of Buffalo, US
Towards Learning-Based Surrogates for Signal Integrity Analysis in Large-Scale ICs
Prof. Yuanqing Cheng
Beihang University, CN
Machine Learning for Thermal Modeling & Static Timing Analysis
Prof. Xing Hu
Institute of Computing Technology, CN
AI Techniques-Driven Automated Processor Design
Lorenzo Ruggeri & Prof. Rosalba Giugno
University of Verona, IT
State Space Models: The Mamba Architecture
Ying Wang
Chinese Academy of Sciences, CN
AI-assisted Processor Chip Design and Modeling