Google DeepMind – About

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4/5

High(4)

High quality. Established institution or organization with editorial oversight and accountability.

Rating inherited from publication venue: Google DeepMind

Google DeepMind is a central institution in AI development and safety research; this homepage provides context on its mission and scope, useful as an organizational reference for wiki users tracking key AI labs.

Metadata

Importance: 30/100homepage

Summary

The official About page for Google DeepMind, the AI research lab formed by the merger of DeepMind and Google Brain. It outlines the organization's mission to advance AI for the benefit of humanity through fundamental research and the development of safe, beneficial AI systems.

Key Points

•Google DeepMind is one of the world's leading AI research organizations, formed from the merger of DeepMind and Google Brain in 2023.
•The lab's stated mission centers on building AI responsibly and for the long-term benefit of humanity.
•DeepMind has produced foundational AI breakthroughs including AlphaFold, AlphaGo, and Gemini.
•The organization conducts both fundamental research and applied AI development, with safety as an explicit priority.
•As a major AI capabilities lab, DeepMind is a key institutional actor in the broader AI safety and governance landscape.

1 FactBase fact citing this source

Entity	Property	Value	As Of
Google DeepMind	Headquarters	London, UK	—

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About Google DeepMind

# Our mission is to build AI responsibly to benefit humanity

- [Our vision](https://deepmind.google/about/#our-vision)
- [Our journey](https://deepmind.google/about/#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](https://deepmind.google/discover/blog/deep-reinforcement-learning/?utm_source=deepmind.google&utm_medium=referral&utm_campaign=gdm&utm_content=), 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](https://deepmind.google/research/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](https://deepmind.google/blog/alphazero-shedding-new-light-on-chess-shogi-and-go/) and [MuZero](https://deepmind.google/blog/muzero-mastering-go-chess-shogi-and-atari-without-rules/), are increasingly general and able to solve many different games as well as complex real-world problems, from compressing [YouTube videos](https://deepmind.google/blog/muzeros-first-step-from-research-into-the-real-wo

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