Scalable spherical CNNs for scientific applications

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...

AI copilot enhances human precision for safer aviation

Imagine you’re in an airplane with two pilots, one human and one computer. Both have their “hands” on the controllers, but they’re always looking out for different things. If they’re both paying attention to the same thing, the human gets to steer....

Google at ICCV 2023

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...

Is AI in the eye of the beholder?

Someone’s prior beliefs about an artificial intelligence agent, like a chatbot, have a significant effect on their interactions with that agent and their perception of its trustworthiness, empathy, and effectiveness, according to a new study. Researchers from MIT and...

Who will benefit from AI?

What if we’ve been thinking about artificial intelligence the wrong way? After all, AI is often discussed as something that could replicate human intelligence and replace human work. But there is an alternate future: one in which AI provides “machine usefulness” for...