Favorite Posted by Xin Wang, Software Engineer, and Nishanth Dikkala, Research Scientist, Google Research Contemporary deep learning models have been remarkably successful in many domains, ranging from natural language to computer vision. Transformer neural networks (transformers) are a popular deep learning architecture that today comprise the foundation for most tasks
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Shared by Google AI Technology November 7, 2023
Favorite Posted by Sara Ahmadian and Mehran Kazemi, Research Scientists, Google Research Clustering is a fundamental, ubiquitous problem in data mining and unsupervised machine learning, where the goal is to group together similar items. The standard forms of clustering are metric clustering and graph clustering. In metric clustering, a given
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Shared by Google AI Technology November 3, 2023
Favorite Posted by Xingchen Wan, Student Researcher, and Ruoxi Sun, Research Scientist, Cloud AI Team Recent advances in large language models (LLMs) are very promising as reflected in their capability for general problem-solving in few-shot and zero-shot setups, even without explicit training on these tasks. This is impressive because in
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Shared by Google AI Technology November 2, 2023
Favorite Posted by Samier Merchant, Google Research, and Nal Kalchbrenner, Google DeepMind Forecasting weather variables such as precipitation, temperature, and wind is key to numerous aspects of society, from daily planning and transportation to energy production. As we continue to see more extreme weather events such as floods, droughts, and
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Shared by Google AI Technology November 1, 2023
Favorite Posted by Xiaoran “Van” Fan, Experimental Scientist, and Trausti Thormundsson, Director, Google The market for true wireless stereo (TWS) active noise canceling (ANC) hearables (headphones and earbuds) has been soaring in recent years, and the global shipment volume will nearly double that of smart wristbands and watches in 2023.
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Shared by Google AI Technology October 27, 2023
Favorite Posted by Anoop Sinha, Technology and Society, and Marian Croak, Google Research, Responsible AI and Human Centered Technology team Standard benchmarks are agreed upon ways of measuring important product qualities, and they exist in many fields. Some standard benchmarks measure safety: for example, when a car manufacturer touts a
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Shared by Google AI Technology October 26, 2023
Favorite Posted by Eliya Nachmani, Research Scientist, and Alon Levkovitch, Student Researcher, Google Research The goal of natural language processing (NLP) is to develop computational models that can understand and generate natural language. By capturing the statistical patterns and structures of text-based natural language, language models can predict and generate
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Shared by Google AI Technology October 26, 2023
Favorite News on our bug bounty program specific to generative AI and how we’re supporting open source security for AI supply chains View Original Source (blog.google/technology/ai/) Here.
Favorite Posted by Yi-Fan Chen, Software Engineer, and Carla Bromberg, Program Lead, Google Research Wildfires are becoming larger and affecting more and more communities around the world, often resulting in large-scale devastation. Just this year, communities have experienced catastrophic wildfires in Greece, Maui, and Canada to name a few. While
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Shared by Google AI Technology October 25, 2023
Favorite Posted by Eric Malmi, Senior Research Scientist, and Jakub Adamek, Senior Software Engineer, Google, Bard Team Many people with questions about grammar turn to Google Search for guidance. While existing features, such as “Did you mean”, already handle simple typo corrections, more complex grammatical error correction (GEC) is beyond
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Shared by Google AI Technology October 25, 2023
Shared by Google AI Technology November 7, 2023
