Google Research tackles challenges that define the technology of today and tomorrow.
Advancing the state of the art
Our approach
Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field.
Our researchers publish regularly in academic journals, release projects as open source, and apply research to Google products.
Explore a sample of our research
Researchers at Google are working in many domains.
See some of our latest research developments from the Google AI blog and elsewhere.
Nature Publication: International evaluation of an AI system for breast cancer screening
Highlighted Research
Nature Publication: International evaluation of an AI system for breast cancer screening
Research Retrospective: Looking Back on 2019
Machine Intelligence
Research Retrospective: Looking Back on 2019
Fairness Indicators: Scalable Infrastructure for Fair ML Systems
Machine Intelligence
Fairness Indicators: Scalable Infrastructure for Fair ML Systems
ALBERT: Self-Supervised Learning of Language Representations
Natural Language Processing
ALBERT: Self-Supervised Learning of Language Representations
Using Machine Learning to "Nowcast" Precipitation
AI for Social Good
Using Machine Learning to "Nowcast" Precipitation
Learning to Assemble and to Generalize from Self-Supervised Disassembly
Robotics
Learning to Assemble and to Generalize from Self-Supervised Disassembly
Improvements to Portrait Mode on the Google Pixel 4 & 4XL
Machine Perception
Improvements to Portrait Mode on the Google Pixel 4 & 4XL
We reimagine technology across all areas of Computer Science research.
Learn how we challenge conventions.
Publications
We publish hundreds of research papers each year and present our work in a wide range of venues.
See some of our most recent research.
Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing
Proceedings of the 3rd AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES), ACM (2020)
The Hanabi Challenge: A New Frontier for AI Research
Artificial Intelligence, vol. 280 (2020)
A Human-Centered Evaluation of a Deep Learning System Deployed in Clinics for the Detection of Diabetic Retinopathy
Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (2020) (to appear)
Teams & people
Meet the people behind our innovation
Our teams advance the state of the art through research, systems engineering, and collaboration across Google.
Join us
We're always looking for more talented, passionate people
Our global reach means that research teams across the company tackle tough problems together.