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

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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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Shared by Google AI Technology August 23, 2022

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

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Shared by Google AI Technology August 18, 2022

Favorite If you’re like me, you may have noticed that AI has become a part of daily life. I wake up each morning and ask my smart assistant about the weather. I recently applied for a new credit card and the credit limit was likely determined by a machine learning

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Shared by Google AI Technology August 18, 2022

Favorite Posted by Brian Ichter and Karol Hausman, Research Scientists, Google Research, Brain Team Over the last several years, we have seen significant progress in applying machine learning to robotics. However, robotic systems today are capable of executing only very short, hard-coded commands, such as “Pick up an apple,” because

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Shared by Google AI Technology August 16, 2022

Favorite Even the simplest human tasks are unbelievably complex. The way we perceive and interact with the world requires a lifetime of accumulated experience and context. For example, if a person tells you, “I am running out of time,” you don’t immediately worry they are jogging on a street where

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Shared by Google AI Technology August 16, 2022

Favorite Posted by Rolf Jagerman and Honglei Zhuang, Software Engineers, Google Research Ranking is a core problem across a variety of domains, such as search engines, recommendation systems, or question answering. As such, researchers often utilize learning-to-rank (LTR), a set of supervised machine learning techniques that optimize for the utility

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Shared by Google AI Technology August 11, 2022

Favorite Posted by AJ Piergiovanni and Anelia Angelova, Research Scientists, Google Research, Brain Team Video is an ubiquitous source of media content that touches on many aspects of people’s day-to-day lives. Increasingly, real-world video applications, such as video captioning, video content analysis, and video question-answering (VideoQA), rely on models that

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Shared by Google AI Technology August 9, 2022

Favorite Posted by Bingyi Cao, Software Engineer, Google Research, and Mário Lipovský, Software Engineer, Google Lens Computer vision models see daily application for a wide variety of tasks, ranging from object recognition to image-based 3D object reconstruction. One challenging type of computer vision problem is instance-level recognition (ILR) — given

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Shared by Google AI Technology August 4, 2022

Favorite Posted by Qifei Wang, Senior Software Engineer, and Feng Yang, Senior Staff Software Engineer, Google Research Deep learning models for visual tasks (e.g., image classification) are usually trained end-to-end with data from a single visual domain (e.g., natural images or computer generated images). Typically, an application that completes visual

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Shared by Google AI Technology August 3, 2022