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The latest research from Google

Foundation models for reasoning on charts

Visual language is the form of communication that relies on pictorial symbols outside of text to convey information. It is ubiquitous in our digital life in the form of iconography, infographics, tables, plots, and charts, extending to the real world in street signs, comic books, food labels, etc. For that reason, having computers better understand this type of media can help with scientific communication and discovery, accessibility, and data transparency.

Barkour: Benchmarking animal-level agility with quadruped robots

Differentially private clustering for large-scale datasets

Google Research at I/O 2023

Resolving code review comments with ML

Making ML models differentially private: Best practices and open challenges

Sparse video tubes for joint video and image vision transformers

Responsible AI at Google Research: PAIR

Using reinforcement learning for dynamic planning in open-ended conversations

Larger language models do in-context learning differently

Consensus and subjectivity of skin tone annotation for ML fairness