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講演題目

Deep Learning 2.0: From algorithms to silicon

詳細
開催日 2018年11月26日(月)
開催時間 14:50 - 15:50
開催都市 兵庫県神戸市
場所

R-CCS 6階講堂

使用言語 発表・スライド共に英語
登壇者

Vijay Ramaseshan Chandrasekhar

A*STAR-I2R-AI-Group長

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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.

(2018年10月29日)