Google DeepMind Discovers “800 Years’ Worth Of Knowledge

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DeepMind technology is used in several real-world applications. DeepMind, a Google subsidiary, has claimed that it has unlocked “800 years’ worth of knowledge” after discovering 2.2 million new crystals.

DeepMind is a division of Alphabet, Inc. that develops general-purpose artificial intelligence (AGI) technology. DeepMind’s technology is also known as Google DeepMind

DeepMind’s technology uses raw pixel data as input and learns from experience. It’s not pre-programmed like other AIs, such as IBM’s Deep Blue or Watson. 

DeepMind’s goals include: 

  • Researching and building safe artificial intelligence systems 
  • Solving intelligence 
  • Advancing science and humanity 

DeepMind’s technology has been used to develop: 

  • Autonomous vehicles that can navigate without human intervention 
  • Potential for thousands of new materials 

DeepMind started in 2010. It brought together new ideas and advances in: 

Machine learning, Neuroscience, Engineering, Mathematics, Simulation, Computing infrastructure

Even their research focuses are different. Where OpenAI explores a bigger range of AI applications, DeepMind is focused on reinforcement learning. We can compare DeepMind and OpeAI, but both companies have made significant contributions to the field of AI research

DeepMind Technologies is an artificial intelligence (AI) company that develops general-purpose algorithms for use in games, e-commerce applications, and simulations. DeepMind combines AI, systems neuroscience, and machine learning (ML) to create scientific discoveries and learning algorithms

DeepMind is a division of Alphabet, Inc.. The company was founded in 2010 with an interdisciplinary approach to building general AI systems. DeepMind uses raw pixel data as input and learns from experience. 

Some of DeepMind’s technologies include: 

  • DeepMind AI: A learning machine that can improve its own performance over time 
  • Crystal-hunting AI: Could help discover new materials 
  • Music generation model: Designed to open up new creative possibilities 

DeepMind Technologies serves clients worldwide

Demis Hassabis

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

DeepMind is a division of Alphabet, Inc. that develops general-purpose artificial intelligence (AGI) technology. DeepMind uses raw pixel data as input and learns from experience

DeepMind started in 2010. The research lab combines new ideas and advances in: 

Machine learning, Neuroscience, Engineering, Mathematics, Simulation, Computing infrastructure. 

DeepMind has created: 

  • Neural network models that learn how to play video games like humans 
  • Neural Turing machines, which are neural networks that can access external memory 

DeepMind’s AI system, GNoME (graph networks for materials exploration), was trained on data from the Materials Project. GNoME manipulated the composition of known materials, resulting in the prediction of 2.2 million potential compounds. These materials could be used in batteries, computer chips, ceramics, and electronics.

DeepMind’s core mission is centered on advancing the field of artificial intelligence (AI) to benefit humanity by solving complex problems and driving positive global impact

The AI model, called Graph Networks for Materials Exploration, or GNoME, is designed to predict inorganic crystal structures, which are repeating arrangements of atoms that provide materials with particular properties – for example, the six-fold symmetry of a snowflake is a result of the crystal structure of ice( full article source google)

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3 thoughts on “Google DeepMind Discovers “800 Years’ Worth Of Knowledge

  1. One notable project, GNoME (Graph Networks for Materials Exploration), showcases DeepMind’s AI prowess. Trained on data from the Materials Project, GNoME predicts inorganic crystal structures, offering potential applications in batteries, computer chips, ceramics, and electronics.👍🏼🤝

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