세미나

시간

발표 주제

발표자

10:00 ~ 10:15

Opening Ceremony

KAIST / 유회준 교수

10:15 ~ 10:50

Deep Neural Network SoCs: Bringing deep learning to mobile devices

UX Factory / 박준영 대표

10:50 ~ 11:40

Eyeriss: An Energy-Efficient Reconfigurable Accelerator And Dataflow for Deep CNNs

MIT / Prof. Vivienne Sze

11:40 ~ 13:10

Lunch

–

13:10 ~ 14:00

Study of hardware neural networks: DianNao Family

Chinese Academy of Science / Prof. Zidong Du

14:00 ~ 14:50

Accelerating Deep convolutional Neural Networks Using Specialized Hardware In the Datacenter

Microsoft Research / Dr. Joo-Young Kim

14:50 ~ 15:40

Approximate Computing:  Energy-efficient Software/Hardware Optimization for Future Workloads

IBM Research / Dr. Jinwook oh

15:40 ~ 15:50

Coffee Break

15:50 ~ 16:40

A Design Method for a Deep Neural Network on an FPGA

Tokyo Institute of Technology / Prof. Hiroki Nakahara

16:40 ~ 17:30

An energy-scalable convolutional Neural Network Processor exploiting Dynamically- scalable approximate computing

KU Leuven / Prof. Marian Verhelst