Conference

1. Aim & Objectives

An international forum to the latest advancement and explore the future directions in Artificial Intelligence and Machine Learning.
An opportunity for Academia, Research Scholar and Industry Person.
An opportunity to present and share their research ideas.

2. Target audience

National and International Academia, Research Scholar and Industry Person.

3. Area of Focus

Here will give details of different areas of Artificial Intelligence
Artificial Intelligence in modeling and simulation Agent-based systems Ant colony optimization Approximate reasoning Artificial immune systems Artificial Intelligence in scheduling and optimization Artificial life Bioinformatics and computational biology Brain-machine interfaces Cognitive systems and applications Differential Evolution Evolutionary data mining Evolutionary design Evolutionary scheduling Natural language processing Neural Network Theory and Architectures Particle swarm optimization Algorithms Bioinformatics and Scientific Computing Compilers and Interpreters High Performance Computing Digital Signal and Image Processing Reality Mobile Computing	Digital System and Logic Designbr Artificial Intelligencebr Distributed and Parallel Processingbr Automated Software Engineeringbr Distributed Systemsbr Bio-informaticsbr E-commerce and E-governancebr Computer Graphics and Computer Modelingbr Data Encryptionbr Technology Managementbr Data Miningbr Computational Intelligencebr Theoretical Computer Sciencebr Database Systemsbr Ubiquitous Computingbr Digital Librarybr Wireless Communication and Mobile Computingbr Computer Visionbr Discrete Mathematical Structurebr Event Driven Programmingbr Biomedical Engineeringbr Expert Systems br Wireless Sensor Networksbr Knowledge Data Engineeringbr Multimedia Applicationsbr Computer Graphics & Virtualbr
Here will give details of different areas of Machine Learning
Learning Problems Supervised Learning Unsupervised Learning Reinforcement Learning Hybrid Learning Problems Semi-Supervised Learning Self-Supervised Learning Multi-Instance Learning Statistical Inference Inductive Learning Deductive Inference Transductive Learning Practical Business Uses of Machine Learning Computer vision Face detection Handwriting recognition Business applications of computer vision Speech Recognition Voice interfaces Voice assistants Business applications of speech recognition Text-to-Speech Generation Business applications of text-to-speech	Learning Techniques Multi-Task Learning Active Learning Online Learning Transfer Learning Ensemble Learning List of Common Algorithms Nearest Neighbor Naive Bayes Decision Trees Linear Regression Support Vector Machines (SVM) Neural Networks Q-Learning Temporal Difference (TD) Deep Adversarial Networks Anomaly Detection Fraud detection Failure detection Healthcare Real-life business cases of anomaly detection Predictions Stock price prediction

4. Schedule for online Presentation

Day 1: 25th August 2021
8:30 am to 10:00 am	Registration
10:00 am to 10:15 am	Inauguration function
10:15 am to 11:45 pm	Session –I by Resource Person: Dr. Khaleel Hussain, Malaysia
12:00 pm to 1:15 pm	Seesion-II Paper Presentation
1:15 pm to 2:30 pm	Lunch break
2:30 pm to 4:00 pm	Session-III by Dr .R. SARAVANAKUMAR Associate Professor Department of Computer Science & Engineering Dayananda Sagar Academy of Technology & Management Bangalore, Karnataka
4:00 pm to 5:00 pm	Session-IV Paper Presentation

Day 2: 26th August 2021
10:00 am to 11:30 am	Session –I by Resource Person Dr. Md Ali Kadampur Asst Prof. College of Engineering, Al Imam Mohammad Ibn Saud Isamic University, Riyadh
11:30 am to 1:00 pm	Session –II Paper Presentation
1:00 pm to 2:00 pm	Lunch break
2:00 pm to 3:30 pm	Session-III Dr. K Paramesha Professor, Dept. of CSE, VVCE, Mysuru
3:30 pm to 4:30 pm	Session-IV Paper Presentation
4:30 pm to 5:00 pm	Valedictory function

5. Outcomes

The conference provides an international forum to discuss and share the latest advancement in Artificial Intelligence & Machine Learning.