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Favorite Posted by Daniel Rebain, Student Researcher, and Mark Matthews, Senior Software Engineer, Google Research, Perception Team An important aspect of human vision is our ability to comprehend 3D shape from the 2D images we observe. Achieving this kind of understanding with computer vision systems has been a fundamental challenge
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Shared by Google AI Technology September 13, 2022
Favorite Posted by Yuxiang Yang, Student Researcher, Robotics at Google An important promise for quadrupedal robots is their potential to operate in complex outdoor environments that are difficult or inaccessible for humans. Whether it’s to find natural resources deep in the mountains, or to search for life signals in heavily-damaged
Read More Shared by Google AI Technology September 9, 2022
Favorite Posted by Zhengzhong Tu and Yinxiao Li, Software Engineers, Google Research Convolutional neural networks have been the dominant machine learning architecture for computer vision since the introduction of AlexNet in 2012. Recently, inspired by the evolution of Transformers in natural language processing, attention mechanisms have been prominently incorporated into
Read More Shared by Google AI Technology September 8, 2022
Favorite Posted by Richard C. Gerkin, Google Research, and Alexander B. Wiltschko, Google Did you ever try to measure a smell? …Until you can measure their likenesses and differences you can have no science of odor. If you are ambitious to found a new science, measure a smell. — Alexander
Read More Shared by Google AI Technology September 6, 2022
Favorite Posted Grigor Aslanyan, Software Engineer, Google Patent documents typically use legal and highly technical language, with context-dependent terms that may have meanings quite different from colloquial usage and even between different documents. The process of using traditional patent search methods (e.g., keyword searching) to search through the corpus of
Read More Shared by Google AI Technology August 31, 2022
Favorite Posted by Tingbo Hou and Juhyun Lee, Software Engineers, Google In recent years video conferencing has played an increasingly important role in both work and personal communication for many users. Over the past two years, we have enhanced this experience in Google Meet by introducing privacy-preserving machine learning (ML)
Read More Shared by Google AI Technology August 25, 2022
Favorite As AI technologies continue to advance, they have the potential to unlock new experiences that support more natural human-computer interactions. We see a future where you can find the information you’re looking for in the same conversational way you speak to friends and family. While there’s still lots of
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Favorite Posted by Aparna Taneja, Software Engineer, and Milind Tambe, Principal Scientist, Google Research, India Research Lab The widespread availability of mobile phones has enabled non-profits to deliver critical health information to their beneficiaries in a timely manner. While advanced applications on smartphones allow for richer multimedia content and two-way
Read More Shared by Google AI Technology August 24, 2022
Favorite Posted by Yilin Wang, Staff Software Engineer, YouTube and Feng Yang, Senior Staff Software Engineer, Google Research Online video sharing platforms, like YouTube, need to understand perceptual video quality (i.e., a user’s subjective perception of video quality) in order to better optimize and improve user experience. Video quality assessment
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Favorite Posted by Yutian Chen, Staff Research Scientist, DeepMind, and Xingyou (Richard) Song, Research Scientist, Google Research, Brain Team One of the most important aspects in machine learning is hyperparameter optimization, as finding the right hyperparameters for a machine learning task can make or break a model’s performance. Internally, we
Read More Shared by Google AI Technology August 18, 2022