Event: 5-Day Workshop on Artificial Intelligence and Machine Learning Applications in the Emerging Areas of Computer Science and Information Technology
Event Date: 09-12-2019 to 13-12-2019
Organized by: Department of Information Technology
Event Description: Artificial Intelligence (AI), as the name itself indicates, is a method
of training the computer through artificial facts and figures in order to make the system intelligent and hence to take decision independently and appropriately. An AI trained system behaves just like human being and does not need human intervention also an AI trained system will find optimal solution to a problem under different circumstances. Hence, makes the system smart. On the other hand, Machine Learning (ML) is the process of making a system to learn by experience. ML trained system explores and learns on its own without any explicit inputs or programs. Over a period of time, ML trained system becomes more and more skillful by exploring and exploiting different situations and the decision taken. ML leads to knowledge where as AI leads to wisdom. Deep Learning (DL), a ML technique, teaches system to learn by the examples. It is gaining much popularity as it brings system one step closer to the human thinking and behavior. Reinforcement Learning, another ML technique, trains the system to take suitable actions to maximize the reward for a particular situation. Reinforcement Learning ensures that the system will behave in the best possible way in a specific environment. In the recent research development, one can find diversified applications of AI, ML and DL in different fields of computer science and information technology; IoT, Data Science and Computer Network to name a few. As a need of the day, this workshop targets different AI, ML and DL applications in the field of Internet of Things (IoT), Data Science, Computer Networks and Network Security. ML has also made headlines in healthcare analytics where a system will be trained in a such a way that it can diagnose the medical images. ML has improved the efficiency, accuracy and reliability in medical image diagnosis. Another application of ML is in stock market prediction where based on the trained data the system can predict the ups and downs of market in the near future. Further, ML has also found its own position in the smart city, smart classroom, smart home applications.
- Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) Difference and Overview.
- Behavioral Analysis, Reinforcement Learning, Smart City, Smart ClassRoom and Smart Home.
- Applications of AI, ML, DL in IOT and Data Science.
- Applications of AI, ML and DL in Computer Networks and Network Security
- AI, ML and DL Research Trends – Road Ahead
- ML Applications in Healthcare Analytics.
- ML Applications in Stock MArket Predictions.
Last Date for Receipt of Applications: 20th Nov 2019
Intimation of Selection by email: 1st Dec 2019
Students / Research Scholars – 1500
Faculty Members – 2500
Industry Persons – 5000
Contact: 9886539400, 0824-247-3560 , 0824-247-3118