19 Facts About Google Brain

Google Brain is a deep learning artificial intelligence research team under the umbrella of Google AI, a research division at Google dedicated to artificial intelligence.

Google Brain project began in 2011 as a part-time research collaboration between Google fellow Jeff Dean, Google Researcher Greg Corrado, and Stanford University professor Andrew Ng.

In March 2013, Google Brain hired Geoffrey Hinton, a leading researcher in the deep learning field, and acquired the company DNNResearch Inc headed by Hinton.

Google Brain was initially established by Google Fellow Jeff Dean and visiting Stanford professor Andrew Ng.

In October 2016, Google Brain designed an experiment to determine that neural networks are capable of learning secure symmetric encryption.

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In doing so, Google Brain demonstrated the capability of neural networks to learn secure encryption.

In February 2017, Google Brain determined a probabilistic method for converting pictures with 8x8 resolution to a resolution of 32x32.

Google Brain's results indicate the possibility for neural networks to enhance images.

Google Brain team contributed to the Google Translate project by employing a new deep learning system that combines artificial neural networks with vast databases of multilingual texts.

Google Brain announced that Google Brain Translate can now translate without transcribing, using neural networks.

For example, Google Brain researchers showed that robots can learn to pick and throw rigid objects into selected boxes by experimenting in an environment without being pre-programmed to do so.

Google Brain researchers have collaborated with other companies and academic institutions on robotics research.

In 2016, the Google Brain Team collaborated with researchers at X in a research on learning hand-eye coordination for robotic grasping.

TensorFlow is an open source software library powered by Google Brain that allows anyone to utilize machine learning by providing the tools to train one's own neural network.

Magenta is a project that uses Google Brain to create new information in the form of art and music rather than classify and sort existing data.

Google Brain announced in 2022 that it created two different types of text-to-image models called Imagen and Parti that compete with OpenAI's DALL-E.

Google Brain has received coverage in Wired Magazine, National Public Radio, and Big Think.

In February 2021, Google Brain fired one of the leaders of the company's AI ethics team, Margaret Mitchell.

In March 2022, Google Brain fired AI researcher, Satrajit Chatterjee, after he questioned the findings of a paper published in Nature, by Google Brain's AI team members, Anna Goldie and Azalia Mirhoseini, about their findings on the ability of computers to design computer chip components.