Scalable spherical CNNs for scientific applications

Favorite Posted by Carlos Esteves and Ameesh Makadia, Research Scientists, Google Research, Athena Team Typical deep learning models for computer vision, like convolutional neural networks (CNNs) and vision transformers (ViT), process signals assuming planar (flat) spaces. For example, digital images are represented as a grid of pixels on a plane.

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Shared by Google AI Technology October 4, 2023

Google at ICCV 2023

Favorite Posted by Shaina Mehta, Program Manager, Google Google is proud to be a Platinum Sponsor of the International Conference on Computer Vision (ICCV 2023), a premier annual conference, which is being held this week in Paris, France. As a leader in computer vision research, Google has a strong presence

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Shared by Google AI Technology October 2, 2023

An update on web publisher controls

Favorite We’re announcing Google-Extended, a new control that web publishers can use to manage whether their sites help improve Bard and Vertex AI generative APIs, including futu… View Original Source (blog.google/technology/ai/) Here.

Re-weighted gradient descent via distributionally robust optimization

Favorite Ramnath Kumar, Pre-Doctoral Researcher, and Arun Sai Suggala, Research Scientist, Google Research Deep neural networks (DNNs) have become essential for solving a wide range of tasks, from standard supervised learning (image classification using ViT) to meta-learning. The most commonly-used paradigm for learning DNNs is empirical risk minimization (ERM), which

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Shared by Google AI Technology September 28, 2023

Google Research embarks on effort to map a mouse brain

Favorite Posted by Michał Januszewski, Research Scientist, Google Research The human brain is perhaps the most computationally complex machine in existence, consisting of networks of billions of cells. Researchers currently don’t understand the full picture of how glitches in its network machinery contribute to mental illnesses and other diseases, such

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Shared by Google AI Technology September 26, 2023