Fundamental AI (FunAI)
Fundamental AI (FunAI) refers to the core principles, theoretical foundations, and essential technologies that enable machines to simulate human-like intelligence. It covers the basic concepts and building blocks that allow computers to learn, reason, understand, and make decisions. It also focuses on how machines can process information, recognize patterns, learn from experience, and perform tasks that normally require human intelligence such as perception, language understanding, and problem-solving.
By mastering FunAI, learners gain the ability to build and understand modern applications like virtual assistants, recommendation systems, autonomous vehicles, and intelligent robots. It also empowers engineers and students to innovate across multiple fields by applying AI to improve efficiency, automate processes, and create smarter solutions for real-world challenges.
| Mentor |
Semester |
Team Size |
Duration |
Project Outcome |
Current Projects |
| Faculty Mentor |
II / III |
Up to 2 Members |
4 - 6 Months |
Journal Article / Patent / Conference Paper |
FunAI Information Packet |
| FunAI - Program Coordinator |
 |
Dr. P Ashok Babu
Professor in CSE(AI&ML), Dean of Internal Quality Assurance Centre (IQAC)
E-mail: p.ashokbabu@iare.ac.in
Phone: 9848898290
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