Technology Symposium

Frontiers of AI Accelerators: Technologies, Circuits and Applications III (6-7 June 2023)

Organizer: AI Chip Center for Emerging Smart Systems (ACCESS)
Online participation

• “Cross-Layer Design Space Exploration for In-Memory Computing Based Accelerators”    Lecturer: Prof. Sharon HU (University of Norte Dame)
• “MINOTAUR: Enabling Transformer Models at the Edge with Posits and Resistive RAM”    Lecturer: Prof. Priyanka RAINA (Stanford University)
• “Accurate In-Memory Computing with MRAM Device Variation-Aware Adaptive Quantization”    Lecturer: Prof. Qiming SHAO (HKUST)
• “Building AI Accelerators using N3XT 3D MOSAIC, Illusion and Co-design”    Lecturer: Prof. Subhasish MITRA (Stanford)
• “Efficient and Robust Hardware Acceleration for Neural Networks”    Lecturer: Prof. Bing LI (Technical University of Munich)
• “Efficient Multi-Modal AI Acceleration”    Lecturer: Prof. Meng LI (Peking University)
• “Efficient Lookup-Table AI Acceleration”    Lecturer: Prof. Ngai WONG (HKU)

2023 HKUST IC Design Center Annual Symposium (9-10 August 2023)

Organizer: ECE Department of HKUST
Online participation

• “Intelligence on Silicon: From DNN Accelerators to Brain Mimicking AI-SoCs”    Lecturer: Prof. Hoi-Jun Yoo (KAIST)
• “Ultra-Low-Power Circuit Design Driving Biomedical Innovations”    Lecturer: Prof. Yihan ZHANG (HKUST)
• “Digital Computing-in-Memory AI Chip Architecture and Design Automation”    Lecturer: Prof. Fengbin TU (HKUST)
• “Early-stage Timing and Power Evaluation for VLSI Design”    Lecturer: Prof. Zhiyao XIE (HKUST)
• “Technology-Driven Architecture Innovations in the AI Era”    Lecturer: Prof. Yuan XIE (Alibaba)
• “SRAM-based Computing-in-Memory Design - Circuit and Architecture”    Lecturer: Dr. Xiaomeng WANG (HKUST)