Google DeepMind

Google Deep Mind

Research, Kings Cross, London, United Kingdom, 501-1000 Employees

deepmind.com

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Who is GOOGLE DEEPMIND

Were a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widesprea...

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industries-icon Industry: Research

SIC SIC Code: 7372 | NAICS Code: 513210 | Show More

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Jun Gallardo

Chief Executive Officer

VP-Level

Pushmeet Kohli

VP of Research (Ai for Science, Reliable, Responsible AI)

Employees

Ce Zheng

Staff Software Engineer

Zoya Martens

People & Culture Partner (Sr HR Business Partner)

Mildred Payne

State Tested Nursing Assistant

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Frequently Asked Questions Regarding Google DeepMind

Answer: Google DeepMind's headquarters are located at Kings Cross, London, United Kingdom,

Answer: Google DeepMind's phone number is +16*********

Answer: Google DeepMind's official website is https://deepmind.com

Answer: Google DeepMind's revenue is $250 Million to $500 Million

Answer: Google DeepMind's SIC: 7372

Answer: Google DeepMind's NAICS: 513210

Answer: Google DeepMind has 501-1000 employees

Answer: Google DeepMind is in Research

Answer: Google DeepMind contact info: Phone number: +16********* Website: https://deepmind.com

Answer: Were a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. Our long term aim is to solve intelligence, developing more general and capable problem-solving systems, known as artificial general intelligence (AGI). Guided by safety and ethics, this invention could help society find answers to some of the worlds most pressing and fundamental scientific challenges. We have a track record of breakthroughs in fundamental AI research, published in journals like Nature, Science, and more.Our programs have learned to diagnose eye diseases as effectively as the worlds top doctors, to save 30% of the energy used to keep data centres cool, and to predict the complex 3D shapes of proteins - which could one day transform how drugs are invented.

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