Favorite Posted by Shaina Mehta and Kristen Borg, Program Managers This week marks the beginning of the premier annual Computer Vision and Pattern Recognition conference (CVPR 2022), held both in-person in New Orleans, LA and virtually. As a leader in computer vision research and a Platinum Sponsor, Google will have a strong

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Shared by Google AI Technology June 21, 2022

Favorite Posted by Laura Downs and Anthony Francis, Software Engineers, Robotics at Google Many recent advances in computer vision and robotics rely on deep learning, but training deep learning models requires a wide variety of data to generalize to new scenarios. Historically, deep learning for computer vision has relied on

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Shared by Google AI Technology June 14, 2022

Favorite Posted by Basil Mustafa, Research Software Engineer and Carlos Riquelme, Research Scientist, Google Research, Brain team Sparse models stand out among the most promising approaches for the future of deep learning. Instead of every part of a model processing every input (“dense” modeling), sparse models employing conditional computation learn

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Shared by Google AI Technology June 9, 2022

Favorite At Google we use technologies like machine learning (ML) to build more useful products — from filtering out email spam, to keeping maps up to date, to offering more relevant search results. Chrome is no exception: We use ML to make web images more accessible to people who are

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Shared by Google AI Technology June 9, 2022

Favorite Posted by Paul Hongsuck Seo and Arsha Nagrani, Research Scientists, Google Research, Perception Team Multimodal video captioning systems utilize both the video frames and speech to generate natural language descriptions (captions) of videos. Such systems are stepping stones towards the longstanding goal of building multimodal conversational systems that effortlessly

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Shared by Google AI Technology June 7, 2022

Favorite Posted by Pasin Manurangsi and Chiyuan Zhang, Research Scientists, Google Research Over the last several years, there has been an increased focus on developing differential privacy (DP) machine learning (ML) algorithms. DP has been the basis of several practical deployments in industry — and has even been employed by

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Shared by Google AI Technology May 25, 2022

Favorite Editor’s note: Today is Global Accessibility Awareness Day. We’re also sharing how we’re making education more accessibleand launching a newAndroid accessibility feature. Over the past nine years, my job has focused on building accessible products and supporting Googlers with disabilities. Along the way, I’ve been constantly reminded of how

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Shared by Google AI Technology May 19, 2022

Favorite Seeing yourself reflected in the world around you — in real life, media or online — is so important. And we know that challenges with image-based technologies and representation on the web have historically left people of color feeling overlooked and misrepresented. Last year, we announced Real Tone for

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Shared by Google AI Technology May 11, 2022

Favorite [TL;DR] Nearly 24 years ago, Google started with two graduate students, one product, and a big mission: to organize the world’s information and make it universally accessible and useful. In the decades since, we’ve been developing our technology to deliver on that mission. The progress we’ve made is because

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Shared by Google AI Technology May 11, 2022

Favorite Language is at the heart of how people communicate with each other. It’s also proving to be powerful in advancing AI and building helpful experiences for people worldwide. From the beginning, we set out to connect words in your search to words on a page so we could make

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Shared by Google AI Technology May 11, 2022