Favorite Posted by Jason Wei and Yi Tay, Research Scientists, Google Research, Brain Team In recent years, language models (LMs) have become more prominent in natural language processing (NLP) research and are also becoming increasingly impactful in practice. Scaling up LMs has been shown to improve performance across a range

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Shared by Google AI Technology November 29, 2022

Favorite Posted by Cat Armato, Program Manager, Google This week marks the beginning of the 36th annual Conference on Neural Information Processing Systems (NeurIPS 2022), the biggest machine learning conference of the year, which is being held in New Orleans, LA. NeurIPS 2022 will be held in person with additional

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Shared by Google AI Technology November 28, 2022

Favorite Our partnership with iCAD Inc. marks the first time we are licensing our mammography AI model in clinical practice. View Original Source (blog.google/technology/ai/) Here.

Favorite Posted by Mohammad Saleh, Software Engineer, Google Research, Brain Team, and Yinan Wang, Software Engineer, Google Workspace Information overload is a significant challenge for many organizations and individuals today. It can be overwhelming to keep up with incoming chat messages and documents that arrive at our inbox everyday. This

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Shared by Google AI Technology November 18, 2022

Favorite A new report from the Geena Davis Institute, Google Research and USC uses AI to analyze representation in media. View Original Source (blog.google/technology/ai/) Here.

Favorite Posted by Mahima Pushkarna, Senior Interaction Designer, and Andrew Zaldivar, Senior Developer Relations Engineer, Google Research As machine learning (ML) research moves toward large-scale models capable of numerous downstream tasks, a shared understanding of a dataset’s origin, development, intent, and evolution becomes increasingly important for the responsible and informed

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Shared by Google AI Technology November 17, 2022

Favorite Posted by Yanqi Zhou, Research Scientist, Google Research Brain Team The capacity of a neural network to absorb information is limited by the number of its parameters, and as a consequence, finding more effective ways to increase model parameters has become a trend in deep learning research. Mixture-of-experts (MoE),

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Shared by Google AI Technology November 16, 2022

Favorite Technology has an unmistakable impact on society — the way we work, learn and play have all changed significantly over the past decade. As SVP of Technology and Society, part of my work at Google is connecting people and ideas to help shape the future of our most ambitious

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Shared by Google AI Technology November 15, 2022

Favorite In 2018, we launched Google’s AI Principles to ensure we’re building AI that not only solves important problems and helps people in their daily lives, but also AI that is ethical, fair and safe. At the same time, we launched a central Responsible Innovation team to ensure the rest

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Shared by Google AI Technology November 14, 2022

Favorite Posted by Jason Wei and Yi Tay, Research Scientists, Google Research, Brain Team The field of natural language processing (NLP) has been revolutionized by language models trained on large amounts of text data. Scaling up the size of language models often leads to improved performance and sample efficiency on

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Shared by Google AI Technology November 10, 2022