Google AI company

Google AI is a research division at Google dedicated to artificial intelligence. It was announced at Google I/O 2017 by CEO Sundar Pichai.

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AI Company overview

Year founded:
Company name : Google AI

Google AI is a research division at Google dedicated to artificial intelligence.

It was announced at Google I/O 2017 by CEO Sundar Pichai. The division has expanded with research facilities in various parts of the world such as Zurich, Paris, Israel, and Beijing.

Google AI’s mission is to develop new AI technologies that will benefit society. The division focuses on a variety of research areas, including:

a) Machine learning

Machine learning is a type of artificial intelligence that allows computers to learn from data without being explicitly programmed.

Google AI is developing new machine learning algorithms that can be used to solve a variety of problems, such as image recognition, natural language processing, and speech recognition.

b) Natural language processing

Natural language processing (NLP) is a field of computer science that deals with the interaction between computers and human language. This research is being used to develop new products and services, such as Google Translate and Google Assistant.

c) Computer vision

Computer vision is a field of computer science that deals with the extraction of meaningful information from digital images and videos.

Google AI is developing new computer vision algorithms that can be used to recognize objects, track people, and understand scenes.

This research is being used to develop and improve various products and services, such as Google Photos and Google Maps.

d) Robotics

Robotics is the field of engineering that deals with the design, construction, operation, and application of robots. This tech can be used to perform a variety of tasks, such as manufacturing, healthcare, and agriculture.

e) Artificial general intelligence

Artificial general intelligence (AGI) refers to a type of AI that can understand and reason about the world in the same way that a human can.

Like many AI companies such as OpenAI, Google AI is conducting research into AGI.

Google AI is also working to make its research more accessible to the public. The division has open-sourced a number of its software tools and datasets, and it has also developed a number of educational resources.

This is helping to accelerate the pace of AI research and development, and it is also making AI more accessible to a wider range of people.

Google AI is a leading force in the field of artificial intelligence. The division’s research is having a significant impact on the world, and it is likely to continue to do so in the years to come.

It’s important to note that Google AI works closely with other entities within Google’s parent company, Alphabet. Such entities include Google Research and Google DeepMind

Key players

While there is no single founder of Google AI, a number of individuals have played key roles in its development. These include:

  • Jeff Dean: Dean is a computer scientist who has been with Google since 1999. He is one of the leading figures in the field of artificial intelligence, and he has made significant contributions to the development of Google AI’s machine learning infrastructure.
  • Demis Hassabis: Hassabis is a neuroscientist and computer scientist who co-founded DeepMind in 2010. He is one of the world’s leading experts in reinforcement learning, and he has played a key role in the development of AlphaGo, the first computer program to defeat a professional human Go player.
  • Geoffrey Hinton: Hinton is a computer scientist who is widely considered to be one of the pioneers of deep learning. He is currently a member of the Google Brain team, and he has made significant contributions to the development of Google AI’s natural language processing capabilities.

Notable achievements

Google AI has made significant strides in the field of generative AI, developing groundbreaking models and techniques that have revolutionized the way we interact with computers.

Let’s explore some of their notable achievements in generative AI:

  • PalM 2 large language model
  • Gemini AI expected to beat OpenAI’s model
  • Bard AI, powered by PalM 2
  • Imagen, a text-to-image diffusion model

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