Artificial Intelligence and Machine learning track deals with aspects of Signal Processing, Audio and Speech Processing, Computer Vision, Natural Language Processing, Supervised and unsupervised learning, Deep Learning, Data Mining, Generative Models, Reinforcement Learning and Optimization algorithm. Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions) and self-correction. Neuromorphic computing mimicking the human brain is one such wave towards AI capabilities. The topics include, but are not limited to:

• Pattern recognition
• Computational intelligence
• Augmented reality and virtual reality
• Signal processing
• Self driving vehicles
• Robotics
• Image processing
• Generative AI use-cases
• Machine Learning for Systems
• DeepFake Technologies
• Recommender systems, computational advertising, multimedia, finance, bioinformatics
• Cognitive Computing
• Audio / Video Recognition
• High reliability and error tolerance in AI
• Time series prediction and forecasting