🧠 Artificial Intelligence (AI) Overview

 The objective functions in business organizations are complex, requiring the processing of large volume of data.

🧮 While the complexity of objective functions in business is not solely resolved by AI-based models, AI based non-linear models can assist in solving the problems of arriving at a dynamic solution to business problems.

🧠 In Artificial Intelligence, PEAS is a framework used to design intelligent agents. It helps in clearly defining how an agent should function in a given environment.

📋 The components of PEAS are:

• 🏁 P – Performance: The criteria for success of the agent (e.g., accuracy, speed, safety).

• 🌍 E – Environment: The external world in which the agent operates.

• 🦾 A – Actuators: The mechanisms through which the agent takes action (e.g., robot arms, motors).

• 👁️ S – Sensors: Devices that allow the agent to perceive its environment (e.g., cameras, microphones).

🏛️ To support Indian Artificial Intelligence (AI) Startups, the technological infrastructure expected to be developed by Government of India is the Creation of GPU Clusters

⚙️ GPUs are crucial for running AI models and processing large datasets efficiently, especially for deep learning and machine learning tasks. Creating GPU clusters will provide the necessary computational power for AI research and innovation.