理化学研究所 計算科学研究センター

メニュー
メニュー

第153回 第2部

第153回 第2部
日時: 2018年11月26日(月)、14:50 - 15:50
場所: R-CCS 6階講堂

・講演題目:Deep Learning 2.0: From algorithms to silicon
・講演者:Vijay Ramaseshan Chandrasekhar(A*STAR-I2R-AI-Group長)
※発表・スライド共に英語

講演要旨:

The Deep Learning 2.0 program is a multi-year A*STAR AI program, focused on capturing the next wave of deep learning.
The program is focused on
(a) 10x open problems in deep learning algorithmic research: thrusts include learning with 10x fewer labeled samples, compressing networks by 100x, incorporating knowledge graphs into deep learning, online deep learning, and white-box deep learning.
(b) Next generation hardware for deep learning: we are looking beyond GPUs and TPUs, and reimagining the entire hardware stack for deep learning from algorithms all the way down to silicon.
(c) New emerging enterprise applications for deep learning: ranging from personalized medicine, finance, health-care, IoT and advanced semiconductor manufacturing.
(d) Deep learning on encrypted data: the challenges lying at the intersection of deep learning and homomorphic encryption in making this technology closer to adoption.