Theme #1:
Architecture and design of reconfigurable computing devices (FPGAs, novel fabrics beyond traditional FPGAs, eFPGAs, Chiplet-based FPGAs), Improving the programmability of reconfigurable computing devices
Theme #2:
Hardware acceleration of machine learning (ML) and Artificial Intelligence (AI), Domain-specific acceleration of emerging workloads, Applications of reconfigurable computing in fields such as structural monitoring, health and quantum computing, Sustainable computing, Processing in/near/using memory
Theme #3:
Machine Learning (ML) and Artificial Intelligence (AI) for Hardware Design, Deploying ML and LLMs to improve architecture, design and verification of ASICs or FPGAs, Developing datasets and frameworks for using ML easily in chip design
