Generative Data Intelligence

Tag: Yoshua Bengio

TensorCircuit: a Quantum Software Framework for the NISQ Era

Shi-Xin Zhang1, Jonathan Allcock2, Zhou-Quan Wan1,3, Shuo Liu1,3, Jiace Sun4, Hao Yu5, Xing-Han Yang1,6, Jiezhong Qiu1, Zhaofeng Ye1, Yu-Qin Chen1, Chee-Kong Lee7, Yi-Cong Zheng1,...

Part 2. Generative AI: It Could Redefine “The Theory of Knowledge”

Credit: DALL-E 2“The contemplation in natural science of a wider domain than the actual leads to a far better understanding of the actual.” —...

Graph neural network initialisation of quantum approximate optimisation

Nishant Jain1, Brian Coyle2, Elham Kashefi2,3, and Niraj Kumar21Indian Institute of Technology, Roorkee, India.2School of Informatics, University of Edinburgh, EH8 9AB Edinburgh, United Kingdom.3LIP6,...

Quantum simulation of real-space dynamics

Andrew M. Childs1,2, Jiaqi Leng1,3, Tongyang Li4,5,6, Jin-Peng Liu1,3, and Chenyi Zhang71Joint Center for Quantum Information and Computer Science, University of Maryland2Department of...

Quantum algorithms for escaping from saddle points

Chenyi Zhang1, Jiaqi Leng2, and Tongyang Li3,4,51Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China2Department of Mathematics and Joint Center for Quantum Information...

The future of deep learning, according to its pioneers

What it takes to get your video game funded The competition is fiercer than ever. Learn the...

World-leading AI research and inclusion at the forefront of this year’s NVIDIA GTC

Want more company growth? Build a better company culture. Learn how building an employee-first culture determines...

Why machine learning struggles with causality

Is AI getting used responsibly in health care? AI is poised to impact health care dramatically,...

TOPBOTS Guide to NeurIPS 2020

This year’s Annual Conference on Neural Information Processing (NeurIPS 2020) is held 100% virtually from December 6th to 12th, 2020. Historically NeurIPS sells out...

Fast reinforcement learning through the composition of behaviours

Further reading  GPE, successor features, and related approaches Improving Generalisation for Temporal Difference Learning: The Successor Representation. Peter Dayan. Neural Computation, 1993. Apprenticeship Learning Via Inverse...

Transfer learning in hybrid classical-quantum neural networks

Andrea Mari, Thomas R. Bromley, Josh Izaac, Maria Schuld, and Nathan KilloranXanadu, 777 Bay Street, Toronto, Ontario, Canada.Find this paper interesting or want...

Is GPT-3 the first Artificial General Intelligence?

OpenAI has long asserted that immense computational horsepower in conjunction with reinforcement learning is a necessary step on the road to AGI, or...

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