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Sharing ideas is integral to innovation. Whether an idea directly applies to our work or is simply interesting, we voraciously consume cutting-edge research—and contribute thinking of our own.

Tag: artificial intelligence

Data Science, Engineering

Our Favorite Deep Learning Papers and Talks from ICLR 2021

Engineering, Policy

Ethics and Technology: A Fireside Chat with David Siegel

NeurIPS 2019 Highlights: Key Themes and Papers

Tech Stew: Highlights from Strange Loop 2019 and PWLConf 2019

ICLR 2019: Our Favorite Machine Learning Talks and Papers

Interpretability Methods in Machine Learning: A Brief Survey

Data Science, Policy

AI Past and Future: A Conversation with David Siegel and Kai-Fu Lee

Engineering, Policy

David Siegel on the “Rules for the AI Race”: a WEF Roundtable

Gradient Sparsification for Communication-Efficient Distributed Optimization

Graph Oracle Models, Lower Bounds, and Gaps for Parallel Stochastic Optimization

Sparse PCA from Sparse Linear Regression

ICML 2018: Our Favorite Papers on Deep Learning, GANs, Optimization, and More

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