Tutorial

Monday, December 18, 2017

Venue: Lecture Hall in Main Building, Tsinghua University
Caffe 2: Deep Learning Framework from Facebook
Introduction to Caffe2: motivations, use cases, and high level technical details 14:00 - 14:45
Yangqing Jia (Facebook)
Break 14:45 - 15:00
Hands on example to train LeNet model on MNIST dataset 15:00 - 14:45
Yangqing Jia (Facebook)
Break 15:45 - 16:00
Introduction to server side multi-GPU training 16:00 - 16:45
Fei Sun (Facebook)
Break 16:45 - 17:00
Deploying Caffe2 style transfer model to mobile devices 17:00 - 17:45
Fei Sun (Facebook)

Main Conference

Tuesday, December 19, 2017

Venue: Main Building, Tsinghua University
General Session Chair: Shaojun Wei
Welcome 8:30 - 8:35
Prof. Zheng You
Opening Remarks 8:35 - 8:50
Beijing Innovation Center for Future Chips Introduction 8:50 - 9:05
Prof. Huaqiang Wu
Artificial Intelligence and Future Chip 9:05 - 9:35
Prof. Bo Zhang
Software Defined Chip-Innovated Architecture for Smart Chip 9:35 - 10:05
Prof. Shaojun Wei
Tea Break 10:05 - 10:30
Panel discussion: Will Emerging Technologies Overtake CMOS in the Era of AI? 10:30 - 12:00
Sharon Hu(Organizer), An Chen(Moderator); Meng-Fan (Marvin) Chang, Vivek De, Hsien-Hsin Lee, Kaushik Roy, Philip Wong
Lunch 12:00 - 13:30
Sesion 1: Smart Chips and Systems — From Academia to Industry Chair: Yiran Chen
Towards Smart reconfigurable systems 13:30 - 13:55
Prof. Wayne Luk
Fuel the AI Rocket: Technical and Business Challenges 13:55 - 14:20
Prof. Jian Pei
Distributed Machine Learning for Large-scale IoT Systems 14:20 - 14:45
Dr. Rob Aiken
Intel's comprehensive chips support for diversified AI applications 14:45 - 15:10
Dr. Jiqiang Song
Tea Break 15:10 - 15:40
Session 2: Design, Design Automation and Computing Paradigm in the AI Era Chair: Yuan Xie
DAC Introduction 15:40 - 15:50
Prof. Sharon Hu
TODAES Introduction 15:50 - 16:00
Prof. Naehyuck Chang
Enabling Smart EDA at Cloud Scale 16:00 - 16:25
Prof. Martin Wong
3D Heterogeneous Integration Enabling Smart Chips 16:25 - 16:50
Prof. Albert Wang
Brain inspired computing for artificial general intelligence 16:50 - 17:15
Prof. Luping Shi
Panel discussion: AI Applications and Security 17:15 - 18:30
Yiran Chen(Moderator); Yier Jin, Yong Lian, David Pan, Gang Qu

Wednesday, December 20, 2017

Venue: FIT Building, Tsinghua Unviersity
Session 3: Algorithm, Software and Architecture for Deep Learning Chair: Shouyi Yin
Deep Learning Software Optimization Methodology for Embedded Devices 8:30 - 8:55
Prof. Soonhoi Ha
Adaptive Learning for Machine Intelligence: From Algorithms, Architectures, to System Design 8:55 - 9:20
Prof. Haibo He
Intelligent Computing, Modern Medicine and Health Care: New Development and Challenges 9:20 - 9:45
Prof. Ziyi Chen
Future Hybrid Circuits for Functionality, Performance and Energy Efficiency 9:45 - 10:10
Prof. Tim Cheng
Tea Break 10:10 - 10:30
Session 4: Bio-inspired Chips and Neural Network Accelerators Chair: Yongpan Liu
Retina-like Sensing Chip 10:30 - 10:55
Prof. Tiejun Huang
Stochastic Computing and Neural Networks 10:55 - 11:20
Prof. Kiyoung Choi
ZeNA: Zero-Aware Neural Network Accelerator 11:20 - 11:45
Prof. Sungjoo Yoo
Trends toward Reconfigurable and in-Memory Processing for Deep Neural Networks 11:45 - 12:10
Prof. Massato Motomura
Lunch 12:10 - 13:30
Session 5: Intelligence for Embedded and IoT applications Chair: Sharon Hu
Mobile/Embedded DNN and AI SoCs 13:30 - 13:55
Prof. Hoi-Jun Yoo
Accelerators for Smart IoT Devices 13:55 - 14:20
Prof. Tulika Mitra
Machine Learning on FPGAs to Face the IoT Revolution 14:20 - 14:45
Prof. Deming Chen
Low Power Embedded Machine Intelligence on a Neurosynaptic Processor 14:45 - 15:10
Prof. Qinru Qiu
Tea Break 15:10 - 15:40
Session 6: Neuromorphic Computing with Emerging Technology Chair: Huaqiang Wu
Diffusive memristors for computing 15:40 - 16:05
Prof. Jianhua Yang
ReRAM-based synapse devices and IMT oscillator neuron for neuromorphic system 16:05 - 16:30
Prof. Hyunsang Hwang
Processing Data with Nanoscale Memristors 16:30 - 16:55
Prof. Themis Prodromakis
Memristor Networks for Brain-inspired Computing 16:55 - 17:20
Prof. Qiangfei Xia
Neuro-Inspired Computing with Emerging Non-Volatile Memory (NVM) 17:20 - 17:45
Prof. Shimeng Yu