Favorite Posted by Haolin Jia, Software Engineer, and Qifei Wang, Senior Software Engineer, Core ML In recent years, we have witnessed rising interest across consumers and researchers in integrated augmented reality (AR) experiences using real-time face feature generation and editing functions in mobile applications, including short videos, virtual reality, and

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Shared by Google AI Technology September 15, 2023

Favorite Posted by Gabriel Barcik and Duc-Hieu Tran, Research Engineers, Google Research In today’s digital age, smartphones and desktop web browsers serve as the primary tools for accessing news and information. However, the proliferation of website clutter — encompassing complex layouts, navigation elements, and extraneous links — significantly impairs both

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Shared by Google AI Technology September 14, 2023

Favorite A look at Data Commons, Google’s initiative to make publicly available data more useful for people working on solutions to societal challenges. View Original Source (blog.google/technology/ai/) Here.

Favorite Posted by Matt Barnes, Software Engineer, Google Research Routing in Google Maps remains one of our most helpful and frequently used features. Determining the best route from A to B requires making complex trade-offs between factors including the estimated time of arrival (ETA), tolls, directness, surface conditions (e.g., paved,

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Shared by Google AI Technology September 12, 2023

Favorite Google.org is funding 15 projects that will use AI to make progress on the UN’s Sustainable Development Goals. View Original Source (blog.google/technology/ai/) Here.

Favorite Posted by Edith Cohen and Uri Stemmer, Research Scientists, Google Research Differential privacy (DP) is a rigorous mathematical definition of privacy. DP algorithms are randomized to protect user data by ensuring that the probability of any particular output is nearly unchanged when a data point is added or removed.

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Shared by Google AI Technology September 8, 2023

Favorite Posted by Shantanu Shahane, Software Engineer, and Matthias Ihme, Research Scientist, Athena Team Turbulence is ubiquitous in environmental and engineering fluid flows, and is encountered routinely in everyday life. A better understanding of these turbulent processes could provide valuable insights across a variety of research areas — improving the

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Shared by Google AI Technology September 7, 2023

Favorite Posted by Si-An Chen, Student Researcher, Cloud AI Team, and Chun-Liang Li, Research Scientist, Cloud AI Team Time series forecasting is critical to various real-world applications, from demand forecasting to pandemic spread prediction. In multivariate time series forecasting (forecasting multiple variants at the same time), one can split existing

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Shared by Google AI Technology September 6, 2023

Favorite Since Google was founded, we’ve worked to answer hard questions, help people get answers to theirs, and move technology forward for the world. View Original Source (blog.google/technology/ai/) Here.

Favorite Posted by Stephan Rasp, Research Scientist, and Carla Bromberg, Program Lead, Google Research In 1950, weather forecasting started its digital revolution when researchers used the first programmable, general-purpose computer ENIAC to solve mathematical equations describing how weather evolves. In the more than 70 years since, continuous advancements in computing

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Shared by Google AI Technology August 31, 2023