Speakers: Dr. Tavpritesh Sethi and Prof. Ramesh Raskar, MIT Media Lab
Date: May 3rd, 2022
Abstract: Modern science and technology are increasingly focused on uncovering hidden patterns and signals that shape our world but remain invisible to the naked eye. This talk, led by Dr. Tavpritesh Sethi and Prof. Ramesh Raskar from the MIT Media Lab, explores how data, machine learning (ML), and novel sensing devices can make the invisible visible.
The presentation will highlight how advanced computational methods can extract meaningful insights from complex datasets, enabling breakthroughs in healthcare, environmental monitoring, and social systems. By combining ML algorithms with innovative devices, researchers can detect subtle cues—whether physiological signals, environmental changes, or behavioral markers—that were previously undetectable.
Key challenges will be discussed, including the need for robust data pipelines, ethical considerations in deploying sensing technologies, and ensuring that ML models remain transparent and trustworthy. The speakers will also emphasize how interdisciplinary collaboration can bridge the gap between cutting-edge research and real-world applications, ultimately empowering individuals and communities with actionable knowledge.
By showcasing examples from healthcare diagnostics, public health, and urban innovation, the talk will illustrate how invisible phenomena can be transformed into visible, interpretable insights. This vision of “making invisible visible” underscores the transformative potential of AI and ML in reshaping human understanding and interaction with the world.