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Predicting Spreadsheet Formulas from Semi-structured Contexts
Posted by Rishabh Singh, Research Scientist and Max Lin, Software Engineer, Google Research Hundreds of millions of people use spreadsheets, and formulas in those spreadsheets allow users to perform s …

How Underspecification Presents Challenges for Machine Learning
Posted by Alex D’Amour and Katherine Heller, Research Scientists, Google Research Machine learning (ML) models are being used more widely today than ever before and are becoming increasingly impactful …

SimVLM: Simple Visual Language Model Pre-training with Weak Supervision
Posted by Zirui Wang, Student Researcher and Yuan Cao Research Scientist, Google Research, Brain Team Vision-language modeling grounds language understanding in corresponding visual inputs, which can …

Federated Learning enables mobile phones to collaboratively learn a shared prediction model while keeping all the training data on device, decoupling the ability to do machine learning from the need to store the data in the cloud. This goes beyond the use of local models that make predictions on mobile devices (like the Mobile Vision API and On-Device Smart Reply) by bringing model training to the device as well.

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