Artificial Intelligence and Machine Learning
Department of Artificial Intelligence and Machine Learning
Vision and Mission
Vision
To emerge as a preeminence program to produce quality Computer Science and Engineering graduates.
Mission
- To enhance professional and entrepreneurial skills through industry institute
interaction to enable them in getting better placement. - To promote research and continuing education.
- To train the students according to their discipline to meet dynamic needs of the
society.
Courses Offered
B.E - Computer Science and Engineering(AIML)
Establishment Year : 2024
Sanctioned Intake : 30
Period of Study : 4 Years
HoD's Desk
Mr. D. Joseph Pushparaj, M.E.,
Head of the Department
D.Joseph Pushparaj received his B.E degree in Electronics and Communication Engineering from Noorul Islam College of Engineering ,Tamil Nadu ,He received his M.E in Computer Science and Engineering from Manonmaniam Sundaranar University, Tamilnadu, India.He is currently working as Assistant professor in PSN College of Engineering and Technology(Autonomous).He has 15+ years of Experience in Teaching .His main area of interest are Digital Image processing and Computer Network.He is a life member of ISTE.
Features
- AI and ML enable automation of tasks that traditionally required human intervention, ranging from simple repetitive tasks to complex decision-making processes.
- ML algorithms can adapt and improve their performance over time as they are exposed to more data, allowing systems to become more accurate and efficient.
- AI systems excel at identifying patterns and trends in large datasets, enabling insights and predictions that may not be immediately apparent to humans.
- Through ML algorithms, AI systems can personalize experiences and recommendations based on individual preferences, behaviors, and historical data.
- AI and ML systems can scale to handle large volumes of data and perform computations at speeds far beyond human capabilities, making them suitable for big data analytics and real-time applications.
- AI systems can make decisions based on predefined rules and learned patterns, often outperforming humans in tasks that require consistency, accuracy, and speed.
- ML algorithms can analyze historical data to make predictions and forecasts about future events, outcomes, or trends, helping businesses and organizations make informed decisions.
- AI systems can detect unusual patterns or outliers in data, which is valuable for identifying anomalies, fraud detection, and maintaining system integrity.
- ML models can continuously learn and adapt to new information, allowing systems to evolve and improve their performance over time without the need for manual intervention. This characteristic is essential for staying relevant in dynamic environments and handling evolving challenges.
- AI technologies can understand, interpret, and generate human language, enabling communication between humans and machines through text or speech.