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CREATED:20250123T183927Z
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SUMMARY:ESE Spring Seminar - "AI as a Lens: Expanding Vision for Scientific Discovery"
DESCRIPTION:Conventional approaches to scientific discovery often prioritize building larger sensors\, gathering more data\, and scaling up computational power. In this talk\, I will present a complementary perspective: extracting insights hidden in the data we already have. The key lies in using AI not as a black-box predictor\, but as a tool for interpreting data through its underlying physical process. \nI will demonstrate how AI\, when integrated with the physics of light propagation\, can serve as a computational lens to overcome fundamental limitations in fields ranging from biomedicine to astrophysics. Specifically\, I will showcase two compelling applications: non-invasive imaging through scattering biological tissues\, and detecting faint exoplanets against the overwhelming brightness of their host stars. \nThese methods represent a departure from traditional learning-based approaches that rely on fitting models to training labels and hoping for generalization. Instead\, with physics-informed strategies that decode how light propagates\, we can transform raw measurements into scientifically meaningful insights—without requiring costly hardware upgrades or human-annotated datasets. Finally\, I will outline future directions for combining AI with physical principles\, enabling us to unlock more phenomena once considered hidden and accelerating discoveries in healthcare\, astronomy\, and beyond.
URL:https://seasevents.nmsdev7.com/event/ese-ideas-spring-seminar-title-tbd/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar,Colloquium
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
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