2nd International Conference on Artificial Intelligence: Theory and Applications (AITA 2024)
August 09-10, 2024
Call for Papers

2nd International Conference on Artificial Intelligence: Theory and Applications (AITA 2024)

Organized in In-person and Online (Hybrid Mode) by

IBS, Bangalore, Off-Campus Center of IFHE University

Technically Sponsored by

Soft Computing Research Society

ICFAI Business School (IBS) Bangalore, India is going to organize the 2nd International Conference on Artificial Intelligence: Theory and Applications (AITA 2024) in Hybrid Mode scheduled to be held from 09 to 10 August 2024. The conference is technically sponsored by the Soft Computing Research Society (SCRS). The AITA 2024 aims to bring together leading academicians, scientists, researcher scholars, and UG/PG graduates from all over the world to exchange and share their research advancements. It aims to provide a state-of-the-art platform to discuss various aspects of Artificial Intelligence and its applications to solve complex problems. The conference proceeding of the AITA 2024 will be published in the Scopus-indexed Springer Book Series, Lecture Notes in Networks and Systems. 


The topics covered (but are not limited to) in the conference are as follows:

  • Artificial Intelligence, Machine Learning and Big Data
  • AI algorithms
  • Artificial intelligence tools and applications, bioinformatics
  • Natural language processing
  • Computer vision and speech understanding
  • Data mining and machine learning tools
  • Fuzzy logic
  • Heuristic and AI Planning strategies and tools, computational theories of learning
  • Hybrid intelligent systems
  • Information retrieval
  • Intelligent system architectures
  • Evolutionary Computing
  • Combinatorial and numerical optimization
  • Swarm Intelligence
  • Artificial Immune Systems
  • Fuzzy clustering algorithms and optimization techniques
  • Support Vector Machines
  • Artificial Neural Networks
  • Hybrid Intelligent Systems
  • Hybrid of soft computing and statistical learning techniques
  • Nature Inspired Computing Techniques
  • Machine Learning
  • Ambient Intelligence
  • Hybridizatiion with novel computing paradigms
  • Image and Signal Processing
  • Network Security
  • Supply Chain Management
  • Computational Biology and Bioinformatics
  • Human Resource Management
  • Finance and economics
  • Internet of Things (IoT)
  • AI for Smart City
  • AI for Healthcare System
  • Machine Vision
  • Remote Sensing & GIS
  • Aircraft Sensor Management
  • Multidisciplinary aerospace design