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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.