Organizing committee
General Chairs
Haralampos-G. Stratigopoulos (FR)
Ioana Vatajelu (FR)
Program Chairs
Fei Su (US)
Martin Andraud (FI)
Panels Chair
Mehdi Tahoori (DE)
Program
Download the full program in pdf here
All times are CET
| 15:00 | Introduction Haralampos Stratigopoulos, Sorbonne Université, CNRS, LIP6 Ioana Vatajelu, Université Grenoble Alpes, CNRS, TIMA |
| 15:05 | Invited presentations 1 Session chair: Fei Su, Intel, USA 15:05 Improving reliability of DNN accelerators Kanad Basu, UT Dallas, USA 15:30 Co-design of Quantized Neural Networks for Reliable Inference on FPGAs Giulio Gambardella, Xilinx, Ireland 15:55 Embracing the Unreliability of Memory Devices for Neuromorphic Computing Damien Querlioz, Université Paris Saclay, France 16:20 Software Based Dependability Management of Neuromorphic Computing Anup Das, Drexel University, USA |
| 16:45 | Break |
| 17:00 | Invited presentations 2 Session chair: Martin Andraud, Aalto University, Finland 17:00 Robustness through Errors: Enhancing Machine Learning Security through Approximate Computing Ihsen Alouani, Polytechnic University Hauts-De-France, France 17:25 Reliability and Security for Machine Learning Systems Muhammad Shafique, NYU Abu Dhabi, UAE, NYU, USA 17:50 Functional Criticality Classification of Structural Faults in AI Accelerators (“ML for ML”) Krish Chakrabarty, Duke University, USA |
| 18:15 | Break |
| 18:30 | Panel: Test and dependability for AI chips: any different from traditional chips? Moderator: Mehdi Tahoori, KIT, Germany Panelists: Alberto Bosio, INL, Ecole Centrale de Lyon, France Yiorgos Makris, UT Dallas, USA Siddharth Garg, NYU, USA Eric Zhang, Horizon Robotics, Canada Fadi Maamari, Synopsys, USA |
| 19:30 | Closing remarks Haralampos Stratigopoulos, Sorbonne Université, CNRS, LIP6 Ioana Vatajelu, Université Grenoble Alpes, CNRS, TIMA |