Browsing: OpenAI
In recent years, artificial intelligence agents have succeeded in a range of complex game environments. For instance, AlphaZero beat world-champion programs in chess, shogi, and Go…
In July 2022, we released AlphaFold protein structure predictions for nearly all catalogued proteins known to science. Read the latest blog here.Today, I’m incredibly proud and…
The AlphaFold methodMany novel machine learning innovations contribute to AlphaFold’s current level of accuracy. We give a high-level overview of the system below; for a technical…
Technology deployed in the real world inevitably faces unforeseen challenges. These challenges arise because the environment where the technology was developed differs from the environment where…
In June 2020, after George Floyd was killed in Minneapolis (USA) and the solidarity that followed as millions spoke out at Black Lives Matter protests around…
Creating testing environments to help progress AI research out of the lab and into the real world is immensely challenging. Given AI’s long association with games,…
EigenGame maps out a new approach to solve fundamental ML problemsModern AI systems approach tasks like recognising objects in images and predicting the 3D structure of…
The ability to ground language to vision is a fundamental aspect of real-world AI systems; it is useful across a range of tasks (e.g., visual question…
In 2016, we introduced AlphaGo, the first artificial intelligence (AI) program to defeat humans at the ancient game of Go. Two years later, its successor -…
Two questions must be answered at the outset of any artificial intelligence research. What do we want AI systems to do? And how will we evaluate…