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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),
Read More 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
Read More 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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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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Favorite Posted by Peter H. Li, Research Scientist, and Sven Dorkenwald, Student Researcher, Connectomics at Google Mapping the wiring and firing activity of the human brain is fundamental to deciphering how we think — how we sense the world, learn, decide, remember, and create — as well as what issues
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Favorite Posted by Shunyu Yao, Student Researcher, and Yuan Cao, Research Scientist, Google Research, Brain Team Recent advances have expanded the applicability of language models (LM) to downstream tasks. On one hand, existing language models that are properly prompted, via chain-of-thought, demonstrate emergent capabilities that carry out self-conditioned reasoning traces
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Favorite Posted by Noah Snavely and Zhengqi Li, Research Scientists, Google Research We live in a world of great natural beauty — of majestic mountains, dramatic seascapes, and serene forests. Imagine seeing this beauty as a bird does, flying past richly detailed, three-dimensional landscapes. Can computers learn to synthesize this
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Favorite Posted by Rishabh Agarwal, Senior Research Scientist, and Max Schwarzer, Student Researcher, Google Research, Brain Team Reinforcement learning (RL) is an area of machine learning that focuses on training intelligent agents using related experiences so they can learn to solve decision making tasks, such as playing video games, flying
Read More Shared by Google AI Technology November 3, 2022