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SUMMARY:MARVEL Distinguished Lecture – Massimiliano Di Ventra
DTSTART:20240502T150000
DTEND:20240502T161500
DTSTAMP:20260313T160632Z
UID:baf3db8599bf062518225b9dcfe5b67ce9332bc88f3058d2f31a9c99
CATEGORIES:Conferences - Seminars
DESCRIPTION:Massimiliano Di Ventra (UCSD)\nhttps://epfl.zoom.us/j/69036570
 763\nPasscode: 8996\n\nProf. Massimiliano Di Ventra\nUniversity of Califor
 nia\, San Diego\n\nMemComputing: when memory becomes a computing tool\nMem
 Computing is a new physics-based approach to computation that employs tim
 e non-locality (memory) to both process and store information on the same 
 physical location [1]. Time non-locality is a remarkable feature since it 
 can generate dynamical long-range order in the system even if its individu
 al units are interacting locally. Long-range order means that the correlat
 ions between the machine units do not decay exponentially\, rather algebra
 ically\, both temporally and spatially. A memcomputing machine then naviga
 tes its phase space by following specific trajectories (instantons) which 
 showcase this long-range order\, namely during dynamics the machine can ch
 ange the values of just a few or as many variables in the problem specific
 ation as needed to reach the solution efficiently. I will discuss the phys
 ics behind MemComputing\, its topological and geometrical aspects\, and sh
 ow many examples of its applicability to various combinatorial optimizatio
 n problems\, Machine Learning\, and Quantum Mechanics\, demonstrating its 
 advantages over traditional approaches and even quantum computing. Work su
 pported by DARPA\, DOE\, NSF\, CMRR\, and MemComputing\, Inc. (http://memc
 pu.com/).\n[1] M. Di Ventra\, MemComputing: Fundamentals and Applications 
 (Oxford University Press\, 2022).\n\nAbout the speaker\nMassimiliano Di Ve
 ntra obtained his undergraduate degree in Physics summa cum laude from th
 e University of Trieste (Italy) in 1991 and did his PhD studies at the Swi
 ss Federal Institute of Technology in Lausanne in 1993-1997. He is now pro
 fessor of Physics at the University of California\, San Diego. Di Ventra's
  research interests are in condensed-matter theory and unconventional comp
 uting. He has been invited to deliver more than 350 talks worldwide on the
 se topics. He has published more than 300 papers in refereed journals\, 5 
 textbooks\, and has 11 granted patents (7 foreign). He is a fellow of the 
 American Association for the Advancement of Science\, the American Physica
 l Society\, the Institute of Physics\, the IEEE and a foreign member of Ac
 ademia Europaea. In 2018 he was named Highly Cited Researcher by Clarivate
  Analytics\, he is the recipient of the 2020 Feynman Prize for theory in N
 anotechnology\, and is a 2022 IEEE Nanotechnology Council Distinguished Le
 cturer. He is the co-founder of MemComputing\, Inc. (http://memcpu.com/).\
 n\n 
LOCATION:MED 2 1124 (Coviz2) https://plan.epfl.ch/?room==MED%202%201124 ht
 tps://epfl.zoom.us/j/69036570763?pwd=dzNJTFA2eWJuSlpMbERRdXdGczhTZz09
STATUS:CONFIRMED
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