What is Google's AI

Mission

Most of Google’s divisions focus on commercial products. However, the Google AI division functions as a pure research entity. Its primary mission is to push the boundaries of what artificial intelligence can achieve through cutting-edge research.

Key Areas

Some of the key areas that Google AI research focuses on include the following:

Machine learning models - Creating innovative neural network architectures and training techniques

Natural language processing - Enabling more interactions between humans and machines

Computer vision - Studying understanding and analysis of visual data

Robotics - Improving robotic systems with reasoning and learning abilities

Global Reach

While headquartered in Mountain View, California, Google AI division has facilities in Zurich, Paris, Tel Aviv, and Beijing. This global footprint allows Google to recruit more top AI talent and sees things in different ways.

Looking Ahead

Google AI will play a vital role due to Google's long-term investment in AI. It will be applied to most of Google's commercial products and services for billions of users worldwide, as well as AI products across industries.

What is Google AI Called?

Google AI is called Google Bard. It’s Google's new AI chatbot, which is revolutionizing the way we interact with the computer. Bard is similar to ChatGPT and has the ability to generate responses if given questions and prompts, making it an ideal tool for seraching information.

By utilizing natural language processing (NLP) and machine learning (ML) algorithms, Bard can simulate human conversations. Users can gain access to this chat bot simply through signing into a Google account on the Bard website .

Why is Google's AI Called Bard? 

Bard uses LaMDA, which stands for Language Model for Dialog Applications.

Bard's name itself carries significant meaning. In English literature, "The Bard" refers to William Shakespeare, known for his mastery of language and creativity. However, it is essential to realize that Bard, just like ChatGPT,  is an experimental chatbot, occasionally providing inaccurate or inappropriate responses. Users are encouraged to offer feedback to imporve it.

Despite its inaccuracy, there is no denying that there is great potential that Bard brings to the table. Whetheryou want to write poems, stories, or assisting users in their daily work, Bard will do the work for you.

What is Google Deep Mind?

According to Google DeepMind official webisite. Google DeepMind is a focused team led by CEO Demis Hassabis, combining the expertise of Google Brain and DeepMind, two of the world's leading AI labs. These labs have contributed a lot to the AI industry. Starting in 2010, DeepMind adopted an interdisciplinary approach that merged machine learning, neuroscience, engineering, mathematics, simulation, and computing infrastructure. One of its early accomplishments was the development of deep reinforcement learning, combining deep learning and reinforcement learning, and using games to test its systems. The program DQN, for instance, learned to play a variety of Atari games just by observing the raw pixels on the screen.

In 2015, DeepMind made headlines by unveiling AlphaGo, the first computer program to defeat a world champion in the game of Go. This achievement was a monumental advancement in AI and inspired the development of subsequent systems like AlphaZero and MuZero, which possess the ability to tackle different games and complex real-world problems. DeepMind has also made significant contributions beyond game-playing, such as the creation of WaveNet, a text-to-speech model that powers the voice of the Google Assistant.

In 2020, it introduced AlphaFold, an AI system that accurately predicts protein structures, revolutionizing the field of biology. DeepMind has also achieved breakthroughs in various domains like computer programming, faster sorting algorithms, weather predictions, and nuclear fusion.

Meanwhile, Google Brain, which began in 2011, has focused on applying AI to Google's products and services. Their research breakthroughs have significantly impacted Google's infrastructure, including software like JAX and TensorFlow, machine translation models, search ranking systems, and online ad organization.

Google DeepMind now brings together the talents of these two renowned labs, using their computing infrastructure to drive further research breakthroughs and transformative products.

What AI does Google Use

Google's AI systems for search use RankBrain, launched in 2015. It helps Google understand the relation between words and concepts. Neural matching, released in 2018, looks at the query and content language. BERT, launched in 2019, focuses on understanding the meaning and intent of word combinations. MUM, introduced in 2021, is not used for ranking but helps with understanding and generating languages. These AI systems may work together and are used globally in all languages that Google Search operates in.

Final Words

In conclusion,  Google AI is playing a vital role now and in the future. Google AI introduces Google Bard, which uses natural language processing and machine learning to simulate human conversations. Additionally, Google DeepMind, formed by the merger of Google Brain and DeepMind, has made significant breakthroughs in game-playing, protein structure prediction, and various domains. Finally, Google uses several AI systems for search, including RankBrain, Neural Matching, BERT, and MUM, to improve its understanding text across all languages in which Google Search operates. Google AI has the ability to change the world. We'll see about that.