Knowing how proteins fold could help scientists understand the biological processes of every living thing. To accelerate progress, we created AlphaFold, a system which accurately predicts the shape of proteins. This research has enormous potential in every field of biology, from helping tackle disease and quickly finding new medicines to unlocking the mysteries of how life itself works.
Over 100 million people are affected by diabetic retinopathy or age-related macular degeneration. These conditions can cause permanent sight loss unless they’re treated quickly. The results, which were published in Nature Medicine, showed that our AI system could recommend patient referrals as accurately as world-leading expert doctors for over 50 sight-threatening eye diseases. More recently, we showed that our system can predict whether a patient will develop a more severe form of age-related macular degeneration months before it happens–paving the way for future research in sight-loss prevention.
It’s essential to keep these servers cool, but this takes a lot of electricity. Even minor improvements would significantly reduce energy usage and CO2 emissions. By building an AI system that manages data centre cooling more efficiently, we helped save around 30% of the energy needed. We also designed it with safety and reliability in mind, so the AI system works within strict constraints.
Our voice synthesis technology WaveNet is in the hands of people who use Google Assistant and Google Cloud Platform around the world. And our systems have helped improve mobile phone battery use and screen brightness for millions of people using the Android Pie operating system.