How Google Brain’s research is improving our lives
Google Brain is Google's deep learning, artificial intelligence research team. Google Brain applies Google's Artificial Intelllilgence and Machine Learning capabilities to questions of modern science, with the advantages of Google's scalability, open culture and research freedom. In this article we give you some examples from healthcare, music & culture and robotics.
Healthcare & biosciences
What better area to focus on when improving people’s lives than healthcare? The future holds spectacular opportunities for machine and deep learning applications. New assistive technologies will empower doctors to better serve their patients and improve the availability and accuracy of medical services.
An example research topic explored within this field is diabetic retinopathy. This eye disease is the leading cause for blindness globally. To normally diagnose this disease, a highly skilled doctor has to take a close look at the retinal scan of the eye. When detected early, good treatment options are available. This makes it critical to develop vision systems based on algorithms to detect diabetic retinopathy early. For more information and highlights, please continue reading here.
Music and art generation
Since one of the key principles of Google Brain is ‘open culture’, it makes sense that research is also being done in an open-source capacity. An example of this is Magenta: this project was founded by the Google Brain team, but has since received multiple contributions from other non-Google researchers and engineers.
Using deep learning and reinforcement learning algorithms, Magenta generates new songs, images etc. In addition, Magenta builds smart assistive tools for musicians to extend their capabilities. Curious? Continue reading here.
The Robotics research area focuses on improving robotical technology through machine learning and vice versa. By fostering the connection between researchers and roboticists, innovative ideas can be thought of and explored, and learning at scale is encouraged.
In a special build lab with robotic arms, the team is exploring how to teach robots transferable skills. By moving objects around, the arms learn to predict what happens in their environment, and hereby learn more about the world around them. More information is available here.
We have explored some interesting research topics which Google Brain is involved in. Through the recently announced partnership with Atos, Google Brain can use their expertise in the field of machine learning to get even more brilliant research published. This, in turn, will share more knowledge with the world and create even better solutions for the day of tomorrow.