Enabling Creative Expression with Concept Activation Vectors

Favorite Posted by Been Kim, Research Scientist, Google Research, Brain Team, and Alison Lentz, Senior Staff Strategist, Google Research, Mural Team Advances in computer vision and natural language processing continue to unlock new ways of exploring billions of images available on public and searchable websites. Today’s visual search tools make

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Shared by Google AI Technology July 7, 2022

An update on our work in responsible innovation

Favorite Over the last year, we’ve seen artificial intelligence (AI) systems advance our work in areas like inclusive product development and support for small businesses and job seekers. We’ve also seen its potential to be helpful in addressing major global needs — like forecasting and planning humanitarian responses to natural

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Shared by Google AI Technology July 6, 2022

MLGO: A Machine Learning Framework for Compiler Optimization

Favorite Posted by Yundi Qian, Software Engineer, Google Research and Mircea Trofin, Software Engineer, Google Core The question of how to compile faster and smaller code arose together with the birth of modem computers. Better code optimization can significantly reduce the operational cost of large datacenter applications. The size of

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Shared by Google AI Technology July 6, 2022

Identifying Disfluencies in Natural Speech

Favorite Posted by Dan Walker and Dan Liebling, Software Engineers, Google Research People don’t write in the same way that they speak. Written language is controlled and deliberate, whereas transcripts of spontaneous speech (like interviews) are hard to read because speech is disorganized and less fluent. One aspect that makes

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Shared by Google AI Technology June 30, 2022

Mahima Pushkarna is making data easier to understand

Favorite Five years ago, information designer Mahima Pushkarna joined Google to make data easier to understand. As a senior interaction designer on the People + AI Research (PAIR) team, she designed Data Cards to help everyone better understand the contexts of the data they are using. The Data Cards Playbook

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Shared by Google AI Technology June 30, 2022

Reducing gender-based harms in AI with Sunipa Dev

Favorite Natural language processing (NLP) is a form of artificial intelligence that teaches computer programs how to take in, interpret, and produce language from large data sets. For example, grammar checkers use NLP to come up with grammar suggestions that help people write grammatically correct phrases. But as Google’s AI

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Shared by Google AI Technology June 29, 2022

Quantum Advantage in Learning from Experiments

Favorite Posted by Jarrod McClean, Staff Research Scientist, Google Quantum AI, and Hsin-Yuan Huang, Graduate Student, Caltech In efforts to learn about the quantum world, scientists face a big obstacle: their classical experience of the world. Whenever a quantum system is measured, the act of this measurement destroys the “quantumness”

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Shared by Google AI Technology June 22, 2022

How AI creates photorealistic images from text

Favorite Have you ever seen a puppy in a nest emerging from a cracked egg? What about a photo that’s overlooking a steampunk city with airships? Or a picture of two robots having a romantic evening at the movies? These might sound far-fetched, but a novel type of machine learning

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Shared by Google AI Technology June 22, 2022