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IEEE VNRVJIET SPS SBC / 4-Day Hybrid/SPS Seasonal School/ Recent Advances in Artificial Intelligence for Signal Processing in association with SPS and WIE AG IEEE Hyderabad Section

December 28 @ 9:00 am - December 31 @ 8:00 pm

Artificial Intelligence(AI) makes computers automatically learn and respond without being explicitly programmed. Speech processing, image processing, weather predictions and other major signal processing applications are currently using machine learning techniques to automate the mechanism of processing of signals. Machine learning techniques share major part in the implementation of AI systems in signal processing especially for healthcare. These technologies are showing their potential in getting solutions to many bio medical applications like predicting cancer, epileptic seizure, etc. Machine Learning techniques are more suitable because of the underlying mathematics is fairly straightforward regardless of the algorithm used. The complexity and the mystery of algorithms lie in the amount of data process to get the interesting results. Hence, there is a great need of knowing how AI is used for these purposes accompanied with signal processing. The term “deep learning” refers to new methods and strategies for generating the deep hierarchies of non-linear features by overcoming the problems with vanishing gradients, allowing us to train architectures with dozens of layers of non-linear hierarchical features. Deep learning is associated with learning not only deep non-linear hierarchical features, but also learning to detect very long non-linear time dependencies in sequential data. This event presents the advance signal processing concepts and tools needed to apply Artificial intelligence in distributed areas. Acquire the knowledge and hands on experience of latest enhancements in deep learning techniques. Latest techniques for capturing, processing, manipulating, learning and classifying signals will be discussed. Participants will have the familiarity of system design and development, procedures, architectures, and applications for signal processing and Artificial intelligence. Topics – Artificial intelligence – Search Strategies – Machine Learning and its Applications – Artificial Intelligence Trends and Its Impact – Recent advancements of AI in the field of Computer Vision – Artificial Intelligence in Speech Processing Applications – Optimization of Machine Learning techniques for signal processing applications. – Principles of Navigation Systems: Toy Car assembly, Control and Communication – Deep Learning Concepts and Applications – Machine Learning for Wireless Senor Networks – Medical Informatics and Biometrics with Machine Learning and Deep Learning – Signal Processing and Artificial Intelligence for dysarthric speech – Artificial intelligence and Neuroscience: Past, Present and Future – Bayesian Techniques for Local post-hoc XAI – Python for Machine Learning Algorithms – A panel discussion on Developments and challenges in AI for signal processing during last decade – A panel discussion on Roles and Opportunities for Women in Signal Processing – Poster Presentation Bldg: Bachupally, VNR Vignana Jyothi Institute of Engineering and Technology, Kukatpally, Hyderabad, Andhra Pradesh, India, 500090, Virtual: