The company’s mission is to solve intelligence and to create a more positive impact on the world through AI. To achieve this, DeepMind has focused on three key areas of research: artificial general intelligence, neuroscience-inspired machine learning, and advanced deep reinforcement learning. The company’s approach is based on the belief that the best way to build intelligent machines is to understand the principles of how intelligence works in the human brain.

One of DeepMind’s most significant achievements has been its work in reinforcement learning, a type of machine learning in which AI systems learn to make decisions by receiving rewards or penalties based on their actions. This approach has been used to train AlphaGo and AlphaStar, but DeepMind has also applied reinforcement learning to real-world problems, such as reducing energy consumption in data centers and helping hospitals improve patient care.

Another important area of research for DeepMind is artificial general intelligence (AGI). Unlike narrow AI systems, which are designed for specific tasks, AGI systems have the ability to learn and perform any intellectual task that a human being can. This is a long-term goal for DeepMind, and the company believes that AGI will have far-reaching implications for society, including the development of systems that can perform a wide range of tasks without human intervention.