Definition of Artificial Intelligence, Niti Aayog, India
“AI refers to the ability of machines to perform cognitive tasks like thinking, perceiving,
learning, problem solving and decision making. Initially conceived as a technology that could
mimic human intelligence, AI has evolved in ways that far exceed its original conception. With
incredible advances made in data collection, processing and computation power, intelligent
systems can now be deployed to take over a variety of tasks, enable connectivity and enhance
productivity.”
How Artificial Intelligence word was coined?
The term “artificial intelligence” (AI) was coined in 1956 by computer scientist John McCarthy. McCarthy organized the famous Dartmouth Conference that year, which is widely considered the birth of AI as a field of study. At the conference, McCarthy and other pioneers in the field discussed the possibility of creating machines that could simulate human intelligence. McCarthy chose the term “artificial intelligence” to describe this endeavor, emphasizing the goal of creating machines that could perform tasks that would typically require human intelligence. Since then, the term has become widely used to refer to the theory and development of computer systems capable of performing tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and language translation.
Subfields of Artificial Intelligence
Artificial Intelligence (AI) is a vast field with several subfields, each focusing on specific problems and capabilities. Here are some of the major subfields of AI:
Machine Learning:
This is the science of getting computers to act without being explicitly programmed. It’s about teaching machines to learn from data and improve their performance over time.
Natural Language Processing (NLP):
NLP enables machines to understand and interpret human language, facilitating interactions between humans and computers. It includes tasks like language translation, speech recognition, and sentiment analysis.
Computer Vision:
This subfield focuses on enabling machines to interpret and make decisions based on visual data from the world, such as images and videos. Applications include facial recognition and autonomous vehicles.
Robotics:
Robotics combines AI with mechanical engineering to create robots that can interact with the physical world and perform tasks such as assembly line work or even surgery.
Applications of Artificial Intelligence:
ChatGPT:
ChatGPT is an AI chatbot developed by OpenAI, launched on November 30, 2022. It’s based on large language models (LLMs) like GPT-3.5 and the more advanced GPT-4 for paid users.
DALL-E
DALL-E is an AI model developed by OpenAI that generates digital images from textual descriptions, known as “prompts.” It uses deep learning methodologies to create images that can range from realistic to fantastical, based on the input it receives.
Sora
Sora is an AI model developed by OpenAI that can create realistic and imaginative videos from text instructions. It’s a text-to-video model that allows users to describe a scene, and the AI then generates a video that matches the description.
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References
https://www.analyticssteps.com/blogs/6-major-branches-artificial-intelligence-ai
https://www.cs.bham.ac.uk/~jxb/IAI/w2.pdf
https://www.akkio.com/post/the-five-main-subsets-of-ai-machine-learning-nlp-and-more