- DeepMind is Google’s AI research hub focused on building artificial general intelligence.
- DeepMind has been applied to real-world problems in healthcare, science, and engineering.
- DeepMind has a number of competitors, including OpenAI, though Google’s model is for profit.
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In the last few years, artificial intelligence has stepped out of the pages of science fiction and into everyday life.
Today, we’re surrounded by AI systems like Gemini, ChatGPT, Dall-E, CoPilot, and countless others, but Google DeepMind is somewhat different.
Launched back in 2010, DeepMind is a company with the goal of developing an artificial general intelligence, often referred to as AGI.
What does Google’s DeepMind do?
While many AI systems in use today are very good at completing specific kinds of tasks for which they were trained, the goal of AGI is to build a human-like intelligence that can learn, reason, and problem-solve a wide range of topics and tasks across a plethora of domains.
In other words, it’s designed to mimic human intelligence.
This is different from systems like ChatGPT and Google Gemini, which are narrow AI systems that are very good at the specific task of understanding natural language well enough to deliver useful information through human-like interactions.
Of course, DeepMind has not yet achieved AGI, but has made impressive achievements nonetheless. In practice, DeepMind has been applied to solving real-world problems in healthcare, science and engineering. It’s perhaps most famous, though, for its mastery of enormously challenging games.
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In 2015, for example, DeepMind’s AlphaGo became the first computer program to ever defeat a human opponent at Go (a game considered far more complex than chess). Less than two years later, AlphaGo went on to defeat the top-ranked Go player in the world.