Learn more about our announcements at I/O 2018
Introducing a new technology for conducting natural conversations to carry out “real-world” tasks over the phone.
By applying deep learning to de-identified electronic health records, our research shows that we can make a broad set of predictions relevant to hospitalized patients.
Meet Daniel, who trained a model in TensorFlow to detect and classify the calls of endangered whales.
How AI already affects your life in ways you might not know, and how people from all over the world are using AI to build their own technology.
ML Kit brings Google’s machine learning expertise to mobile developers in a powerful yet easy-to-use package through Firebase.
Recent research publications
We publish hundreds of research papers each year and present our work in a wide range of venues.
Nature, vol. 534 (2016), pp. 222-226
The Astronomical Journal, vol. 155 (2018), pp. 94
We’re fostering a collaborative ecosystem with open-source tools, public datasets, and APIs that allow all of us to make the most of machine learning.