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BEGIN:VEVENT

CATEGORIES:Lectures/Conferences
CATEGORIES:Utilities
CATEGORIES:Lecture/Talk
CATEGORIES:Panel/Seminar/Colloquium
CATEGORIES:Technology
CATEGORIES:Main
CONTACT;X-BEDEWORK-UID=00f1fcdb-0f068baf-010f-068baf83-00000004:None
CREATED:20240213T201459Z
DESCRIPTION:LUNCH \nLunch will be served at 11:45 AM. \n\nABSTRACT \nAs ma
 ssive language models (LMs) like GPT-4 dominate natural language processi
 ng and AI\, extreme-scale has become a clear and frequent theme for succe
 ss. However\, increasing model size is inherently at odds with the intere
 sts of a diverse user base and community of open researchers. The largest
  models are typically closed to the public\, extremely energy-intensive\,
  and difficult to conduct systematic and reproducible research on. \n\nIn
  this talk\, I will discuss my vision for effective natural language proc
 essing beyond scale alone. I will begin by describing alternative approac
 hes\, more efficient methods that work with compact language models to un
 lock hidden capabilities. I begin with inference-time algorithms that wor
 k on top of existing models to allow new functionality. Next\, I describe
  a method for distilling valuable knowledge from extreme-scale models int
 o compact LMs. Finally\, I will explain my work towards understanding the
  limits that even extreme-scale language models suffer from\, with a part
 icular focus on how such models differ from human intuitions. \n\nSPEAKER
  BIO \nPeter West is PhD student in the Paul G. Allen School of Computer 
 Science & Engineering at the University of Washington\, working with Yeji
 n Choi. His research is focused on natural language processing and langua
 ge models\, particularly studying the capabilities and limits of both com
 pact and extreme-scale models. His work has received multiple awards\, in
 cluding best methods paper at NAACL 2022\, and outstanding paper awards a
 t ACL and EMNLP in 2023. His work has been supported in part by an NSERC 
 PGS-D fellowship. Previously\, Peter received a BSc in computer science f
 rom the University of British Columbia.
DURATION:PT1H
DTSTAMP:20240213T201459Z
DTSTART;TZID=America/New_York:20240304T120000
LAST-MODIFIED:20240213T201459Z
LOCATION;X-BEDEWORK-UID=18832edc-1bffd55f-011c-2ea4458d-000003df:LSRC D106
 
STATUS:CONFIRMED
SUMMARY:Discovering Hidden Capabilities and Limits in Large Language Model
 s
UID:CAL-8a0292fd-8d13410f-018d-a41bc60d-000075e1demobedework@mysite.edu
URL:https://cs.duke.edu/events/discovering-hidden-capabilities-and-limits-
 large-language-models
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 ties/Main
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us
 er/Lectures_Conferences/Lecture_Talk
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us
 er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Technology:/user/public-user
 /Topics/Technology
X-BEDEWORK-SPEAKER:Peter West\, UW-CSE
X-BEDEWORK-DUKE-SERIES:Duke Computer Science Colloquium
X-BEDEWORK-STUDENT-CONTACT;X-BEDEWORK-PARAM-EMAIL=tomasi@duke.edu:Carlo To
 masi
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X-BEDEWORK-IMAGE-ALT-TEXT:Peter West\, UW-CSE
X-BEDEWORK-SUBMITTEDBY:cr390 for Computer Science (agrp_ArtsandSciences_Co
 mputerScience)
X-BEDEWORK-IMAGE:/public/Images/peterwestdukecalendar_20240213081459PM.jpg
 
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 PM-thumb.png
END:VEVENT
BEGIN:VEVENT

CATEGORIES:Engineering
CATEGORIES:Lectures/Conferences
CATEGORIES:Utilities
CATEGORIES:Lecture/Talk
CATEGORIES:Technology
CATEGORIES:Main
CONTACT;X-BEDEWORK-UID=00f1fcdb-0f068baf-010f-068baf83-00000004:None
CREATED:20240216T180036Z
DESCRIPTION:SNACKS: \nSnacks will be served at 3:45 PM. \n\nABSTRACT: \nAn
  increasing number of security and privacy researchers are conducting res
 earch with the intention of informing public policy discussions. I will t
 alk about how I got interested in public policy and discuss a wide range 
 of research projects I've worked on over the past 25 years that had some 
 impact on public policy discussions including research on the usability o
 f privacy tools\, the cost of reading privacy policies\, various types of
  privacy labels\, password policy\, and the California privacy choice ico
 n. \n\nSPEAKER BIO: \nLorrie Faith Cranor is the Director and Bosch Disti
 nguished Professor of the CyLab Security and Privacy Institute and FORE S
 ystems University Professor of Computer Science and of Engineering and Pu
 blic Policy at Carnegie Mellon University. She directs the CyLab Usable P
 rivacy and Security Laboratory (CUPS) and co-directs the Privacy Engineer
 ing master's program. In 2016 she served as Chief Technologist at the US 
 Federal Trade Commission. She co-founded Wombat Security Technologies. Sh
 e is a fellow of the ACM\, IEEE\, and AAAS and a member of the ACM CHI Ac
 ademy. \n\nZOOM BROADCAST: \nDr. Cranor will be giving her lecture from N
 orth Carolina State University. As she is a TCSDLS speaker\, we will be p
 roviding direct access to her talk via Zoom broadcast in LSRC D106 at Duk
 e. \n\nTRIANGLE COMPUTER SCIENCE DISTINGUISHED LECTURER SERIES: \nThe com
 puter science departments at Duke University\, North Carolina State Unive
 rsity\, and the University of North Carolina at Chapel Hill joined forces
  to create the Triangle Computer Science Distinguished Lecturer Series. T
 he lecture series began in the 1995-1996 academic year\, and is made poss
 ible by grants from the U.S. Army Research Office\, rotated among the dep
 artments.
DURATION:PT1H
DTSTAMP:20240216T180741Z
DTSTART;TZID=America/New_York:20240304T160000
LAST-MODIFIED:20240216T180741Z
LOCATION;X-BEDEWORK-UID=18832edc-1bffd55f-011c-2ea4458d-000003df:LSRC D106
 
STATUS:CONFIRMED
SUMMARY:From Password Requirements to IoT Cybersecurity Labels: Informing 
 Public Policy with Research
UID:CAL-8a0292fd-8d13410f-018d-b313d0af-0000056edemobedework@mysite.edu
URL:https://cs.duke.edu/events/password-requirements-iot-cybersecurity-lab
 els-informing-public-policy-research
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 ties/Main
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us
 er/Lectures_Conferences/Lecture_Talk
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Technology:/user/public-user
 /Topics/Technology
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use
 r/Topics/Engineering
X-BEDEWORK-STUDENT-CONTACT;X-BEDEWORK-PARAM-EMAIL=michael.reiter@duke.edu:
 Mike Reiter
X-BEDEWORK-SPEAKER:Lorrie Faith Cranor\, CMU
X-BEDEWORK-DUKE-SERIES:Triangle Computer Science Distinguished Lecturer Se
 ries
X-BEDEWORK-DUKE-WEBCAST:https://ncsu.zoom.us/j/97778793085?pwd=OG5CUW9GZHd
 Gelk0Rkk4Rmxab2lYQT09
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X-BEDEWORK-IMAGE-ALT-TEXT:Lorrie Faith Cranor\, CMU
X-BEDEWORK-SUBMITTEDBY:cr390 for Computer Science (agrp_ArtsandSciences_Co
 mputerScience)
X-BEDEWORK-IMAGE:/public/Images/dukecalendar4mar2024tcsdls_20240216060036P
 M.jpg
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 60036PM-thumb.png
END:VEVENT
BEGIN:VEVENT

CATEGORIES:Lectures/Conferences
CATEGORIES:Utilities
CATEGORIES:Lecture/Talk
CATEGORIES:Panel/Seminar/Colloquium
CATEGORIES:Technology
CATEGORIES:Main
CONTACT;X-BEDEWORK-UID=00f1fcdb-0f068baf-010f-068baf83-00000004:None
CREATED:20240219T164336Z
DESCRIPTION:LUNCH: \nLunch will be served at 11:45 AM \n\nABSTRACT: \nGene
 rative flow models learn a (possibly stochastic) mapping between source a
 nd target distributions. Common paradigms include diffusion models\, scor
 e matching models\, and continuous normalizing flows. In this talk I will
  first present methods for improved training of flow models using flow ma
 tching objectives using ideas from optimal transport. I will then show ho
 w these improved methods can be applied to the tasks of (1) modelling cel
 l dynamics\, which allow us to better understand disease programs - leadi
 ng to a new potential therapeutic pathway for triple-negative breast canc
 er and (2) generative protein design\, with applications to biologic drug
  discovery. \n\nSPEAKER BIO: \nAlex Tong is a postdoctoral researcher at 
 Mila and Université de Montréal\, where he works with Yoshua Bengio at th
 e intersection of generative machine learning and biology with focuses on
  applications to cells and proteins. This work is part of a joint effort 
 with Fabian Theis through the Helmholtz International Lab. He is also cof
 ounder of Dreamfold\, a Mila startup which builds generative models for p
 rotein design.
DURATION:PT1H
DTSTAMP:20240219T164336Z
DTSTART;TZID=America/New_York:20240306T120000
LAST-MODIFIED:20240219T164336Z
LOCATION;X-BEDEWORK-UID=18832edc-1bffd55f-011c-2ea4458d-000003df:LSRC D106
 
STATUS:CONFIRMED
SUMMARY:Flow Models with Applications to Cell Trajectories and Protein Des
 ign
UID:CAL-8a0292fd-8d13410f-018d-c2406610-00005dafdemobedework@mysite.edu
URL:https://cs.duke.edu/events/flow-models-applications-cell-trajectories-
 and-protein-design
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X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us
 er/Lectures_Conferences/Lecture_Talk
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us
 er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Technology:/user/public-user
 /Topics/Technology
X-BEDEWORK-SPEAKER:Alex Tong\, MILA and Dreamfold.ai
X-BEDEWORK-DUKE-SERIES:Duke Computer Science Colloquium
X-BEDEWORK-STUDENT-CONTACT;X-BEDEWORK-PARAM-EMAIL=amink@cs.duke.edu:Alexan
 der Hartemink
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X-BEDEWORK-IMAGE-CROP-HEIGHT:353.3333333333333
X-BEDEWORK-IMAGE-ALT-TEXT:Alex Tong\, MILA and Dreamfold.ai
X-BEDEWORK-SUBMITTEDBY:cr390 for Computer Science (agrp_ArtsandSciences_Co
 mputerScience)
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END:VEVENT
BEGIN:VEVENT

CATEGORIES:Ethics
CATEGORIES:Engineering
CATEGORIES:Lectures/Conferences
CATEGORIES:Utilities
CATEGORIES:Lecture/Talk
CATEGORIES:Technology
CATEGORIES:Main
CONTACT;X-BEDEWORK-UID=00f1fcdb-0f068baf-010f-068baf83-00000004:None
CREATED:20240220T170723Z
DESCRIPTION:LUNCH: \nLunch will be served at 11:45 AM. \n\nABSTRACT: \nEth
 ics discussions abound but translating "do no harm" into our work is frus
 trating at best\, and obfuscatory at worst. We can agree that keeping hum
 ans safe and in control is important\, but implementing ethics is intimid
 ating work. Learn how to wield your preferred technology ethics code to m
 ake systems that are accountable\, de-risked\, respectful\, secure\, hone
 st and usable. The presenter will introduce the topic of ethics and then 
 step through a framework to guide teams successfully through this process
 . \n\nThis talk is for teams working on (or anticipating working on) emer
 ging technologies such as artificially intelligent (AI) systems. Attendee
 s do not need any previous experience or knowledge about ethics. \n\nSPEA
 KER BIO: \nCarol Smith is the AI Division Trust Lab Lead and a Principal 
 Research Scientist at the Carnegie Mellon University (CMU)\, Software Eng
 ineering Institute. She leads research focused on development practices t
 hat result in trustworthy\, human-centered\, and responsible AI systems. 
 Ms. Smith has been conducting research to improve the human experience wi
 th complex systems across industries for over 20 years. Since 2015 she ha
 s led research to integrate ethics and improve human experiences with AI 
 systems\, autonomous vehicles\, and other complex and emerging technologi
 es. Ms. Smith is recognized globally as a leading researcher and user exp
 erience advocate and has presented over 250 talks and workshops in over 4
 0 cities around the world. Her writing can be found in publications from 
 organizations including AAAI\, ACM\, and the UXPA\, and she has taught co
 urses and lectured at CMU and other leading institutions. Ms. Smith is cu
 rrently an ACM Distinguished Speaker and a Working Group member of the IE
 EE P7008™ Standard. Ms. Smith holds a Master of Science degree in Human-C
 omputer Interaction from DePaul University.
DURATION:PT1H
DTSTAMP:20240220T170723Z
DTSTART;TZID=America/New_York:20240321T120000
LAST-MODIFIED:20240220T170723Z
LOCATION;X-BEDEWORK-UID=18832edc-1bffd55f-011c-2ea4458d-000003df:LSRC D106
 
STATUS:CONFIRMED
SUMMARY:Implementing Ethics in Emerging Technologies
UID:CAL-8a0292fd-8d13410f-018d-c77c8724-000021f8demobedework@mysite.edu
URL:https://cs.duke.edu/events/implementing-ethics-emerging-technologies
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 ties/Main
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us
 er/Lectures_Conferences/Lecture_Talk
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Technology:/user/public-user
 /Topics/Technology
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use
 r/Topics/Engineering
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Ethics:/user/public-user/Top
 ics/Ethics
X-BEDEWORK-SPEAKER:Carol Smith\, CMU
X-BEDEWORK-DUKE-SERIES:ACM-W Distinguished Speaker
X-BEDEWORK-STUDENT-CONTACT;X-BEDEWORK-PARAM-EMAIL=lisa@cs.duke.edu:Lisa Wu
  Wills
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X-BEDEWORK-IMAGE-ALT-TEXT:Carol Smith\, CMU
X-BEDEWORK-SUBMITTEDBY:cr390 for Computer Science (agrp_ArtsandSciences_Co
 mputerScience)
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END:VEVENT
BEGIN:VEVENT

CATEGORIES:Lectures/Conferences
CATEGORIES:Utilities
CATEGORIES:Lecture/Talk
CATEGORIES:Panel/Seminar/Colloquium
CATEGORIES:Technology
CATEGORIES:Main
CONTACT;X-BEDEWORK-UID=00f1fcdb-0f068baf-010f-068baf83-00000004:None
CREATED:20240221T165112Z
DESCRIPTION:LUNCH: \nLunch will be served at 11:45 AM. \n\nABSTRACT: \nThe
  last decade saw a dramatic shift in how NLP systems are developed and de
 ployed: from bespoke models trained for specific tasks to a single Large 
 Language Model (LLM) capable of solving a variety of tasks via in-context
  learning (ICL). In this talk\, I will discuss the problem of adapting LL
 Ms to out-of-distribution tasks and datasets. \n\nSPEAKER BIO: \nSilvio A
 mir is an assistant professor at the Khoury College of Computer Science a
 t Northeastern University. He completed his PhD at the University of Lisb
 on and was a postdoc at Johns Hopkins University before joining Northeast
 ern. Silvio Amir works on Natural Language Processing and Machine Learnin
 g methods to analyze personal and user generated text\, such as social me
 dia and clinical notes from Electronic Health Records. He is primarily in
 terested in tasks involving subjective\, personalized or user-level infer
 ences (e.g.\, opinion mining and digital phenotyping). In particular\, hi
 s work aims to improve the reliability\, interpretability and fairness of
  predictive models and analytics derived from these data.
DURATION:PT1H
DTSTAMP:20240221T165112Z
DTSTART;TZID=America/New_York:20240408T120000
LAST-MODIFIED:20240221T165112Z
LOCATION;X-BEDEWORK-UID=18832edc-1bffd55f-011c-2ea4458d-000003df:LSRC D106
 
STATUS:CONFIRMED
SUMMARY:Can One Model Rule Them All? Tailoring Large Language Models to Sp
 ecialized Domains\, Specific Populations\, and Unique Individuals
UID:CAL-8a0292fd-8d13410f-018d-cc94125f-000043bfdemobedework@mysite.edu
URL:https://cs.duke.edu/events/can-one-model-rule-them-all-tailoring-large
 -language-models-specialized-domains-specific
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili
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X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us
 er/Lectures_Conferences/Lecture_Talk
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us
 er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Technology:/user/public-user
 /Topics/Technology
X-BEDEWORK-SPEAKER:Silvio Amir\, Northeastern Univ.
X-BEDEWORK-DUKE-SERIES:Duke Computer Science Colloquium
X-BEDEWORK-STUDENT-CONTACT;X-BEDEWORK-PARAM-EMAIL=bdhingra@cs.duke.edu:Bhu
 wan Dhingra
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X-BEDEWORK-IMAGE-Y2:353.3333333333333
X-BEDEWORK-IMAGE-CROP-WIDTH:530
X-BEDEWORK-IMAGE-CROP-HEIGHT:353.3333333333333
X-BEDEWORK-IMAGE-ALT-TEXT:Silvio Amir\, Northeastern Univ.
X-BEDEWORK-SUBMITTEDBY:cr390 for Computer Science (agrp_ArtsandSciences_Co
 mputerScience)
X-BEDEWORK-IMAGE:/public/Images/silvioamirdukecalendar_20240221045112PM.jp
 g
X-BEDEWORK-THUMB-IMAGE:/public/Images/silvioamirdukecalendar_2024022104511
 2PM-thumb.png
END:VEVENT
BEGIN:VEVENT

CATEGORIES:Lectures/Conferences
CATEGORIES:Utilities
CATEGORIES:Lecture/Talk
CATEGORIES:Panel/Seminar/Colloquium
CATEGORIES:Main
CONTACT;X-BEDEWORK-UID=18832edc-1b31c518-011b-40a23061-00000095:Hester\, G
 lenda
CREATED:20241001T183248Z
DESCRIPTION:While there have been huge advances in Machine Learning in rec
 ent years\, many of the successes have relied on immense amounts of train
 ing data.  Especially for sequential-decision-making tasks (the realm of 
 reinforcement learning)\, obtaining such data from online experience can 
 take a very long time.  On the other hand\, learning can often be dramati
 cally accelerated by leveraging human input\, for example as demonstratio
 ns of successful task executions\, as interventions to correct mistakes\,
  or simply as evaluative feedback separating "correct" actions from incor
 rect actions.  This talk focuses on such Human-in-the-Loop Machine Learni
 ng for robotics tasks\, covering both navigations\, especially in tightly
  constrained spaces\, and manipulation in open-world settings.
DURATION:PT1H
DTSTAMP:20241015T153342Z
DTSTART;TZID=America/New_York:20241028T120000
LAST-MODIFIED:20241015T153342Z
LOCATION;X-BEDEWORK-UID=18832edc-1bffd55f-011c-2ea4458d-000003df:LSRC D106
 
STATUS:CONFIRMED
SUMMARY:Human-in-the-Loop Machine Learning for Robot Navigation and Manipu
 lation
UID:CAL-8a00048d-91324965-0192-495b3be4-0000089fdemobedework@mysite.edu
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili
 ties/Main
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us
 er/Lectures_Conferences/Lecture_Talk
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us
 er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium
X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_PrattSc
 hool_BME,/principals/users/agrp_PrattSchool_CEE,/principals/users/agrp_Ar
 tsandSciences_ComputerScience,/principals/users/agrp_Institutes_Materials
 ScienceandEngineering,/principals/users/agrp_PrattSchool_ECE,":Biomedical
  Engineering (BME)\,Civil and Environmental Engineering (CEE)\,Computer S
 cience\,Duke Materials Initiative\,Electrical and Computer Engineering (E
 CE)
X-BEDEWORK-SPEAKER:Peter Stone
X-BEDEWORK-SUBMITTEDBY:ghester for Mechanical Engineering and Materials Sc
 ience (MEMS) (agrp_PrattSchool_MEMS)
END:VEVENT
BEGIN:VEVENT

CATEGORIES:Natural Sciences
CATEGORIES:Lectures/Conferences
CATEGORIES:Utilities
CATEGORIES:Panel/Seminar/Colloquium
CATEGORIES:Main
CONTACT;X-BEDEWORK-UID=00f1fcdb-0f068baf-010f-068baf83-00000004:None
CREATED:20260114T151846Z
DESCRIPTION:Addressing global security challenges requires enhanced radiat
 ion detection capabilities to meet the needs of organizations such as the
  IAEA\, CTBTO\, and the U.S. Government. Key priorities include the accur
 ate determination of radionuclide concentrations in environmental samples
  with improved speed\, sensitivity\, and adaptability to diverse sample p
 rofiles\, such as aged or minute samples. Advances in rare-event physics 
 technologies\, originally developed for dark matter searches and neutrino
  experiments\, are proving critical in achieving the ultra-sensitive thre
 sholds needed for these missions. This presentation will explore the appl
 ication of next-generation groundwater age-dating methodologies as a case
  study for leveraging rare-event physics technologies. Additionally\, I w
 ill introduce the multidisciplinary Facility for Underground Science and 
 Engineering (FUSE) under development at Savannah River National Laborator
 y\, highlighting its unique underground laboratory environment optimized 
 for minimizing background radiation and enabling cutting-edge detection r
 esearch.
DURATION:PT1H
DTSTAMP:20260114T153211Z
DTSTART;TZID=America/New_York:20260122T150000
LAST-MODIFIED:20260114T153211Z
LOCATION;X-BEDEWORK-UID=18832edc-1bffd55f-011c-2ea4458d-000003df:LSRC D106
 
STATUS:CONFIRMED
SUMMARY:Advancing Ultra-Sensitive Radiation Detection: Applications of Rar
 e Event Physics to Global Security
UID:CAL-8a00eca5-9af98aae-019b-bd167f74-00001d33demobedework@mysite.edu
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili
 ties/Main
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us
 er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi
 c-user/Topics/Natural Sciences
X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp__Artsan
 dSciences_Physics,":Physics
X-BEDEWORK-STUDENT-CONTACT;X-BEDEWORK-PARAM-EMAIL=sean.finch@duke.edu:Sean
  Finch
X-BEDEWORK-SPEAKER:Henning Back
X-BEDEWORK-DUKE-WEBCAST:https://duke.zoom.us/j/94471581751?pwd=yi0iSLM7JKg
 LehUQsWkmuayNEi2xjI.1
X-BEDEWORK-SUBMITTEDBY:asc for TUNL Seminar Series (agrp_TUNL_SeminarSerie
 s)
X-BEDEWORK-IMAGE-ALT-TEXT:Photo of TUNL Building
X-BEDEWORK-IMAGE-X1:5
X-BEDEWORK-IMAGE-Y1:36
X-BEDEWORK-IMAGE-X2:2084
X-BEDEWORK-IMAGE-Y2:1422
X-BEDEWORK-IMAGE-CROP-WIDTH:2079
X-BEDEWORK-IMAGE-CROP-HEIGHT:1386
X-BEDEWORK-IMAGE:/public/Images/TUNL_0_20260114033211PM.png
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END:VEVENT
BEGIN:VEVENT

CATEGORIES:Natural Sciences
CATEGORIES:Lectures/Conferences
CATEGORIES:Utilities
CATEGORIES:Panel/Seminar/Colloquium
CATEGORIES:Main
CONTACT;X-BEDEWORK-UID=00f1fcdb-0f068baf-010f-068baf83-00000004:None
CREATED:20260126T155841Z
DESCRIPTION:In the late 1950s the U.S. Atomic Energy Commission (AEC) plan
 ned Project Plowshare\, a series of tests designed to show the peaceful u
 ses for nuclear explosions. One plan was to create an artificial harbor i
 n Cape Thompson\, Alaska using multiple hydrogen bombs in Project Chariot
 . However\, nearby\, the Iñupiat residents and local scientists fought to
  keep their land pristine. Taking on Edward Teller and the US Government\
 , this group of Alaskan citizens thwarted the project and\, in the proces
 s\, started a movement. This talk will discuss the project\, the results 
 of the fight\, and the far-reaching implications of this project.
DURATION:PT1H
DTSTAMP:20260126T155841Z
DTSTART;TZID=America/New_York:20260212T150000
LAST-MODIFIED:20260126T155841Z
LOCATION;X-BEDEWORK-UID=18832edc-1bffd55f-011c-2ea4458d-000003df:LSRC D106
 
STATUS:CONFIRMED
SUMMARY:Could nuclear physics help us understand Alzheimer’s?
UID:CAL-8a00eca5-9af98aae-019b-fb075bc1-000016bademobedework@mysite.edu
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili
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X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us
 er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi
 c-user/Topics/Natural Sciences
X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp__Artsan
 dSciences_Physics,":Physics
X-BEDEWORK-SPEAKER:Shelly R. Lesher
X-BEDEWORK-DUKE-WEBCAST: https://duke.zoom.us/j/94471581751?pwd=yi0iSLM7JK
 gLehUQsWkmuayNEi2xjI.1
X-BEDEWORK-STUDENT-CONTACT;X-BEDEWORK-PARAM-EMAIL=sean.finch@duke.edu:Sean
  Finch
X-BEDEWORK-IMAGE-X1:72
X-BEDEWORK-IMAGE-Y1:86
X-BEDEWORK-IMAGE-X2:967.5
X-BEDEWORK-IMAGE-Y2:683
X-BEDEWORK-IMAGE-CROP-WIDTH:895.5
X-BEDEWORK-IMAGE-CROP-HEIGHT:597
X-BEDEWORK-IMAGE-ALT-TEXT:Prof. Shelley Lesher
X-BEDEWORK-SUBMITTEDBY:asc for TUNL Seminar Series (agrp_TUNL_SeminarSerie
 s)
X-BEDEWORK-IMAGE:/public/Images/LesherPhoto-1024x683_20260126035841PM.jpg
X-BEDEWORK-THUMB-IMAGE:/public/Images/LesherPhoto-1024x683_20260126035841P
 M-thumb.png
END:VEVENT
BEGIN:VEVENT

CATEGORIES:Natural Sciences
CATEGORIES:Lectures/Conferences
CATEGORIES:Utilities
CATEGORIES:Panel/Seminar/Colloquium
CATEGORIES:Main
CONTACT;X-BEDEWORK-UID=00f1fcdb-0f068baf-010f-068baf83-00000004:None
CREATED:20260414T160240Z
DESCRIPTION:The advent of next-generation facilities capable of delivering
  high-intensity\, high-resolution gamma-ray beams and ultra-short\, high-
 repetition laser pulses is opening new avenues in nuclear astrophysics. N
 arrow\, tunable gamma-ray beams (ranging from a few keV to tens of MeV) o
 ffer unprecedented opportunities to measure extremely small cross section
 s (on the order of μb or less) relevant to key astrophysical nuclear reac
 tions. These precise measurements are crucial for determining astrophysic
 al S-factors\, which underpin our understanding of stellar evolution.\n\n
 In recent years\, the ASFIN group\, together with international collabora
 tors\, has developed advanced detector arrays optimized for the measureme
 nt of excitation functions and angular distributions. These systems\, inc
 luding LHASA and ELISSA\, are ideally suited for nuclear astrophysics stu
 dies induced by gamma-ray beams. In this contribution\, I will present th
 e recent developments and discuss their application to ongoing and future
  experimental campaigns.
DURATION:PT1H
DTSTAMP:20260415T192758Z
DTSTART;TZID=America/New_York:20260416T150000
LAST-MODIFIED:20260415T192758Z
LOCATION;X-BEDEWORK-UID=18832edc-1bffd55f-011c-2ea4458d-000003df:LSRC D106
 
STATUS:CANCELLED
SUMMARY:Nuclear Astrophysics with Gamma Beams
UID:CAL-8a003384-9cc4d1fe-019d-8cbb0a98-00007157demobedework@mysite.edu
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili
 ties/Main
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us
 er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi
 c-user/Topics/Natural Sciences
X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp__Artsan
 dSciences_Physics,":Physics
X-BEDEWORK-STUDENT-CONTACT;X-BEDEWORK-PARAM-EMAIL=sean.finch@duke.edu:Sean
  Finch
X-BEDEWORK-SPEAKER:Giovanni Luca Guardo
X-BEDEWORK-DUKE-WEBCAST:https://duke.zoom.us/j/94471581751?pwd=yi0iSLM7JKg
 LehUQsWkmuayNEi2xjI.1
X-BEDEWORK-IMAGE-X1:0
X-BEDEWORK-IMAGE-Y1:43
X-BEDEWORK-IMAGE-X2:2088
X-BEDEWORK-IMAGE-Y2:1435
X-BEDEWORK-IMAGE-CROP-WIDTH:2088
X-BEDEWORK-IMAGE-CROP-HEIGHT:1392
X-BEDEWORK-IMAGE-ALT-TEXT:Photo of TUNL Building
X-BEDEWORK-SUBMITTEDBY:asc for TUNL Seminar Series (agrp_TUNL_SeminarSerie
 s)
X-BEDEWORK-IMAGE:/public/Images/TUNL_0_20260414040241PM.png
X-BEDEWORK-THUMB-IMAGE:/public/Images/TUNL_0_20260414040241PM-thumb.png
END:VEVENT
END:VCALENDAR