The first question that might pop into your mind is: “Is DeepMind open source?” – if so, why is it important to do so? DeepMind’s code is used in many places at Google, but its primary goal is fundamental research. The open-source API for the popular game StarCraft II is one example.
Earlier this year, DeepMind announced the release of its own open source project, DeepMind Lab. The project was designed to catalyze research into generalized AI, much like OpenAI’s Universe. It is available on GitHub, and it is likely that the company will release updates as they do internally.
The company has recently released some of its research, including a map of human proteins that was developed by DeepMind. This map has been described as the most comprehensive yet. DeepMind plans to make the data freely available for researchers to use, and it could have an impact on medicine as the Human Genome Project did. Proteins are long, complex molecules that perform many tasks inside the human body. Because proteins fold into complex shapes, it is critical to understand how they work. By understanding how proteins fold, scientists can better design new medicines.
DeepMind Lab is a research center focused on building more sophisticated environments for AI agents. The researchers at DeepMind are Software Engineer Charlie Beattie, Research Scientist Joel Leido, and Chief Scientist Shane Legg. The research center’s 3D game platform is customizable and extensible, so researchers can add levels, reward new skills, and more. Researchers from DeepMind have been using the technology internally for some time. DeepMind’s technology is a crucial part of Google’s ongoing effort to make applications smarter. The DeepMind Lab project has made significant contributions in several fields, such as computer vision and computer-aided navigation.
The algorithms developed by DeepMind’s scientists are incredibly accurate. They can predict protein structures with atomic accuracy, even in cases where the existing protein structure is completely different. This knowledge can help in the diagnosis and treatment of fatal diseases, and it can even aid small specialist groups. By unlocking the structure of proteins, scientists can better understand the natural world and broaden their knowledge of life. DeepMind has also decided to open source AlphaFold 2.0, its high-performance algorithm that makes protein structure prediction possible.
Another controversial deal between DeepMind and Google – the company reveals huge haul of NHS patient data. The company also renews its commitment to University College London by funding a professorship in Artificial Intelligence. While this deal has been controversial, it was defended by DeepMind boss. The company has been criticised in the UK for using data without consent. Despite the controversy, DeepMind’s data-sharing policy is a great step forward for the industry.
Google, the parent company of DeepMind, has announced that the AI platform they use will be made open source. The code that DeepMind Lab produces is hosted on GitHub, including scripts and relevant assets. Using this open-source code, other AI researchers can test the agents for performance in real-world situations. Additionally, the lab environment will also allow the public to train their own agents. This news comes in the midst of the AI movement, and it will be interesting to see how Alphabet pushes the limits.