Artificial Intelligence And Data Science: Insights, Practices And Applications - Day 9: 12th June 2024 Applications of AI and Data Science, organised by Department of Computer Science & Engineering, Mechanical Engineering, Electronics & Communication Engineering in association with Internal Quality Assurance Cell.
Session 1: The session started with different approaches to solving problems like rule-based systems, classic machine learning, representation learning and deep learning.
Example applications include but not limited to:
Object removal, Image completion, Deep fakes, multi-domain image-to-image translation (Supervised and unsupervised), multi-model learning, speech recognition (lip reading), drone control using ANN, swarm intelligence and particle swarm optimization.
Session 2: Brains are filled with neurons and each neuron receives electrical inputs from about 1000 other neurons.
Different medical applications like Brain-Computer-Interface (BCI), TTD feedback and communication system, Deep brain simulation (DBS) were discussed.
IOT medical applications including neural prostheses and neural rehabilitation, P300 Speller.
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