World scale inverse reinforcement learning in Google Maps

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,

Read More
Shared by Google AI Technology September 12, 2023

Differentially private median and more

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.

Read More
Shared by Google AI Technology September 8, 2023

TSMixer: An all-MLP architecture for time series forecasting

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

Read More
Shared by Google AI Technology September 6, 2023

WeatherBench 2: A benchmark for the next generation of data-driven weather models

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

Read More
Shared by Google AI Technology August 31, 2023

Modeling and improving text stability in live captions

Favorite Posted by Vikas Bahirwani, Research Scientist, and Susan Xu, Software Engineer, Google Augmented Reality Automatic speech recognition (ASR) technology has made conversations more accessible with live captions in remote conferencing software, mobile applications, and head-worn displays. However, to maintain real-time responsiveness, live caption systems often display interim predictions that

Read More
Shared by Google AI Technology August 30, 2023