Physics

Princeton University Dark Cosmos Seminar

November 21, 2023 | 4:00pm - 5:00pm

Abstract: Machine learning is now a part of physics for the foreseeable future, but many deep learning tools, architectures, and algorithms are imported from industry to physics with minimal modifications. Does physics really need all of these fancy...

IAS Amplitudes Group Meeting

November 21, 2023 | 2:30pm - 4:00pm

Abstract: I will review why current large language models cannot deal with algorithmic problems without using external tools. After explaining the transformer architecture from a point of view of a physicist, I will highlight the increasing role of...

IAS High Energy Theory Seminar

November 20, 2023 | 2:30pm - 3:30pm

Abstract: M- and F-theory compactifications with ADE singularities give rise to non-abelian ADE gauge symmetries. The physical explanation for this phenomenon involves M2-branes wrapped on vanishing cycles. We consider an alternative approach which...

PU High Energy Theory Seminar

November 17, 2023 | 11:00am - 12:15pm

Abstract: Khuri, in 1995, considered potential scattering for a model where one spatial coordinate in compactified on the circle. He adopted Greens function method to study analyticity property of scattering amplitude. His conclusion was that...

IAS Quantum Aspects of Black Holes Group Meeting

November 16, 2023 | 11:00am - 12:00pm

Abstract: I will briefly review the black hole information paradox in the powerful formulation of Almheiri, Marolf, Polchinski and Sully. I discuss some challenges for complexity-protected black hole complementarity. I suggest a covariant definition...

Princeton University Dark Cosmos Seminar

November 15, 2023 | 12:00pm - 1:00pm

Abstract: Dark matter is a hypothetical matter in the universe introduced to coherently explain observations ranging from the scale of galaxies to the whole of the universe. The DarkSide program is a direct dark matter detection experiment that...

Princeton University Dark Cosmos Seminar

November 14, 2023 | 4:00pm - 5:30pm

Abstract: Cross-section predictions are crucial for the success of long-baseline neutrino experiments, but they suffer from significant theoretical uncertainties. Given the promise of future near detector data, one certainly expects and needs to...