SBNet: Leveraging Activation Block Sparsity for Speeding up Convolutional...
By applying convolutional neural networks (CNNs) and other deep learning techniques, researchers at Uber ATG Toronto are committed to developing technologies that power safer and more reliable...
View ArticleIntroducing the Uber AI Residency
Uber AI Labs and Uber ATG Toronto are excited to announce the Uber AI Residency, an intensive one-year research training program slated to begin this summer. Uber has invested substantially in...
View ArticleAnnouncing the 2019 Uber AI Residency
By Theofanis Karaletsos, Ersin Yumer, Raquel Urtasun, and Zoubin Ghahramani on behalf of Uber AI Labs and Uber ATG Connecting the digital and physical worlds safely and reliably on the Uber platform...
View ArticleGet to Know Uber ATG at ICCV, CoRL, and IROS 2019
Uber ATG is committed to publishing research advancements with the goal of bringing self-driving cars to the world safely and scalably. We hope our approach to sharing will deepen the interactions and...
View ArticleAnnouncing the 2020 Uber AI Residency
Connecting the digital and physical worlds safely and reliably on the Uber platform presents exciting technological challenges and opportunities. For Uber, artificial intelligence (AI) is essential to...
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