Program (Jun 6-7, 2023)

The entire symposium will be held in Hong Kong Time (GMT+8).

 

Day 1 (June 6, 2023)
08:45-09:00 Registration
09:00-09:15
Opening Remarks
  • Prof. Tim CHENG
    Center Director, AI Chip Center for Emerging Smart Systems,
    Vice President (Research and Development), The Hong Kong University of Science and Technology (HKUST)
  • Mr. Albert WONG
    Chief Executive Officer, the Hong Kong Science and Technology Parks Corporation
09:15-10:15 Public Lecture #1: Cross-Layer Design Space Exploration for In-Memory Computing Based Accelerators
Lecturer: Prof. Sharon HU (University of Norte Dame)
Session Chair: Prof. Qiming SHAO (The Hong Kong University of Science and Technology (HKUST))
10:15-10:25 Break
10:25-12:10 Workshop #1: Exploring the Future of AI: Device and Technology for In-Memory and In-Sensor Computing
Session Chair: Prof. Zhongrui WANG (The University of Hong Kong (HKU))
Speakers:
  • Prof. Priyanka RAINA (Stanford University (Stanford))
    Topic: "MINOTAUR: Enabling Transformer Models at the Edge with Posits and Resistive RAM"
  • Prof. Qiming SHAO (HKUST)
    Topic: "Accurate In-Memory Computing with MRAM Device Variation-Aware Adaptive Quantization"
  • Prof. Subhasish MITRA (Stanford)
    Topic: "Building AI Accelerators using N3XT 3D MOSAIC, Illusion and Co-design"
12:10-14:05 Lunch
14:05-15:50 Workshop #2: Circuit and Architecture Design Techniques for AI Applications
Session Chair: Prof. Chi Ying TSUI (HKUST)
Speakers:
  • Prof. Yang CHAI (The Hong Kong Polytechnic University (PolyU))
    Topic: "In-sensor Computing for Artificial Vision"
  • Prof. Fengbin TU (HKUST)
    Topic: "Digital Computing-In-Memory Architecture and Design Automation"
  • Prof. Hayden SO (HKU)
    Topic: "Mixing Signed Digit Representations for Low-bitwidth DNN Inference on FPGAs"
15:50-16:00 Break
16:00-17:45 Workshop #3: AI-Assisted EDA
Session Chair: Prof. Bei YU (The Chinese University of Hong Kong (CUHK))
Speakers:
  • Prof. Yiyu SHI (University of Notre Dame)
    Topic: "Hardware/Software Co-Design of Deep Learning Accelerators"
  • Prof. Tsung-Yi HO (CUHK)
    Topic: "Accelerating Sparse Neural Network Inference via Compression at Runtime"
  • Prof. Zhiyao XIE (HKUST)
    Topic: "Machine Learning in EDA: Challenges and Solutions"
Day 2 (June 7, 2023)
08:45-09:00 Registration
09:00-10:00 Poster Session / Open House and Demonstration (ACCESS Lab)
10:00-10:10 Break
10:10-12:10 Workshop #4: Efficient AI Acceleration
Session Chair: Prof. Can LI (HKU)
Speakers:
  • Prof. Bing LI (Technical University of Munich)
    Topic: "Efficient and Robust Hardware Acceleration for Neural Networks"
  • Prof. Meng LI (Peking University)
    Topic: "Efficient Multi-Modal AI Acceleration"
  • Prof. Ngai WONG (HKU)
    Topic: "Efficient Lookup-Table AI Acceleration"
12:10-14:00 Lunch
14:00-15:45 Entrepreneurship Workshop
Session Chair: Prof. Zhiyao XIE (HKUST)
  • Mr. Nero WANG (Sinovation Ventures)
    Topic: "Investment in Semiconductor: Next Generation Computing Architecture"
  • Mr. Xiaofei XIA (Vivo)
    Topic: "Challenges and Trends of AI Chip on Mobile Platform"
  • Dr. Mei YAN (GeneSense Technology Inc.)
    Topic: "Boost Genomics with the Innovation of Biosensors, Artificial Intelligence, and Smart Manufacturing"
15:45-16:45 Public Lecture #2: Designing Accelerator-Centric Edge Architectures with Open-Source Platforms
Lecturer: Prof. David ATIENZA ALONSO (École Polytechnique Fédérale de Lausanne (EPFL))
Session Chair: Prof. Wei ZHANG (HKUST)
16:45-17:00
Closing Remarks
  • Prof. Chi Ying TSUI
    Associate Center Director, AI Chip Center for Emerging Smart Systems,
    Head and Professor of Division of Integrative Systems and Design at The Hong Kong University of Science and Technology
17:00 End of Programme