Deep Learning: Bridging the gap between mind and machine.
Abstract:
Machine Learning is a part of Artificial Intelligence consisting of statistical algorithms that
learn to perform specific tasks given relevant data. Deep learning is a subfield of machine learning
inspired by the structure and function of the human brain. It is based on artificial neural networks
that enable information to pass through layers of interconnected neurons. By leveraging vast amounts
of data and computation, the networks can encode complex features and perform tasks previously
thought to be exclusive to human cognition. This enables various applications in computer vision,
speech recognition, natural language processing, healthcare, and more. In future, does deep learning
have the potential to emulate a human mind and revolutionize AI as we know it?
Speaker Bio
Manisha is a post-doctoral student at the IISc Bengaluru. She finished her PhD at IIIT, Hyderabad,
under the supervision of Sujit Gujar. Her research interests lie in the intersection of learning and
game theory with the goal of building fair AI-based decision systems.