1. Aim & Objectives

  1. An international forum to the latest advancement and explore the future directions in Artificial Intelligence and Machine Learning.
  2. An opportunity for Academia, Research Scholar and Industry Person.
  3. 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.