Google DeepMind – About

About Google DeepMind Our mission is to build AI responsibly to benefit humanity

 Our vision 
 Our journey 
 Our vision

 We live in an exciting time when AI research and technology are delivering extraordinary advances.

 In the coming years, AI — and ultimately artificial general intelligence (AGI) — has the potential to drive one of the greatest transformations in history.

 We’re a team of scientists, engineers, ethicists and more, working to build the next generation of AI systems safely and responsibly.

 By solving some of the hardest scientific and engineering challenges of our time, we’re working to create breakthrough technologies that could advance science, transform work, serve diverse communities — and improve billions of people’s lives.

 AI has the potential to be one of the most important and beneficial technologies ever invented.

 Demis Hassabis Co-founder and CEO, Google DeepMind Our journey

 Google DeepMind brings together two of the world’s leading AI labs — Google Brain and DeepMind — into a single, focused team led by our CEO Demis Hassabis. Over the last decade, the two teams were responsible for some of the biggest research breakthroughs in AI, many of which underpin the flourishing AI industry we see today.

 DeepMind started in 2010, with an interdisciplinary approach to building general AI systems. The research lab brought together new ideas and advances in machine learning, neuroscience, engineering, mathematics, simulation and computing infrastructure, along with new ways of organizing scientific endeavors.

 The lab achieved early success by pioneering the field of deep reinforcement learning - a combination of deep learning and reinforcement learning - and using games to test its systems. One of its early breakthroughs was a program called DQN , which learned to play 49 different Atari games from scratch just by observing the raw pixels on the screen and being told to maximize the score.

 In 2015, DeepMind unveiled AlphaGo , the first computer program to defeat a Go world champion. Go was a long-standing grand challenge in AI and AlphaGo’s landmark achievement was considered a decade ahead of its time. AlphaGo inspired a new era of AI systems and its successors, AlphaZero and MuZero , are increasingly general and able to solve many different games as well as complex real-world problems, from compressing YouTube videos to discovering new more efficient computer algorithms .

 After the success of AlphaGo, the DeepMind team sought out increasingly complex games that capture different elements of intelligence. In 2019 we demonstrated AlphaStar , the first AI system to defeat a top professional player at StarCraft II, considered to be one of the most challenging Real-Time Strategy (RTS) games and one of the longest-played e-sports of all time.

 The team also invented WaveNet , a realistic text-to-speech model that was used as the voice of the Google Assistant and introduced a lot of the technology used in Generativ

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