Tackling the most challenging problems in computer science
Our teams aspire to make discoveries that positively impact society. Core to our approach is sharing our research and tools to fuel progress in the field, to help more people more quickly. We regularly publish in academic journals, release projects as open source, and apply research to Google products to benefit users at scale.
Explore the expanding influence of AI, powering advancements and creating opportunities in an increasing variety of industries.
Fostering breakthroughs that redefine possibilities
2001
In 2012, Google started training AI at scale, and made significant improvements in AI image classification.
In 2017, Google introduced the Transformer, a novel neural network architecture that would become the basis for most generative AI models and products we see today.
In 2016, AlphaGo – an AI system that learned to master the game of Go – defeated a human Go world champion.
2024
2021
2024
In 2012, Google started training AI at scale, and made significant improvements in AI image classification.
In 2016, AlphaGo – an AI system that learned to master the game of Go – defeated a human Go world champion.
In 2017, Google introduced the Transformer, a novel neural network architecture that would become the basis for most generative AI models and products we see today.
Responsible AI is artificial intelligence built using a human-centered design approach. In this video learn about how Google Research approaches and builds responsible AI, test it and release AI products responsibly.
Google is home to world-class research teams, whose foundational breakthroughs have helped usher in a new era of AI.
