BEGIN:VCALENDAR
VERSION:2.0
PRODID:researchseminars.org
CALSCALE:GREGORIAN
X-WR-CALNAME:researchseminars.org
BEGIN:VEVENT
SUMMARY:Dr. Marly Gotti
DTSTART:20241016T000000Z
DTEND:20241016T010000Z
DTSTAMP:20260422T225636Z
UID:SimpleWords/1
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/SimpleWords/
 1/">Harnessing the Power of Large Language Models in Mathematics: Current 
 Trends and Future Directions</a>\nby Dr. Marly Gotti as part of Simple Wor
 ds\n\nAbstract: TBA\n
LOCATION:https://researchseminars.org/talk/SimpleWords/1/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Dr. Matthew Dallas (University of Dallas)
DTSTART:20241030T000000Z
DTEND:20241030T010000Z
DTSTAMP:20260422T225636Z
UID:SimpleWords/2
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/SimpleWords/
 2/">Newton’s Method or: How to Solve Nonlinear Equations Fast</a>\nby Dr
 . Matthew Dallas (University of Dallas) as part of Simple Words\n\nAbstrac
 t: TBA\n
LOCATION:https://researchseminars.org/talk/SimpleWords/2/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Prof. Anna Ma (University of California\, Irvine)
DTSTART:20241113T010000Z
DTEND:20241113T020000Z
DTSTAMP:20260422T225636Z
UID:SimpleWords/3
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/SimpleWords/
 3/">Solving Large-Scale Linear Systems: From Gradient Descent to Stochasti
 c Optimization in Data Science</a>\nby Prof. Anna Ma (University of Califo
 rnia\, Irvine) as part of Simple Words\n\n\nAbstract\nIn applied mathemati
 cs and data science\, we leverage our ability to access large amounts of d
 ata to make better decisions. While more data can provide more information
  about the world around us\, working with large-scale data creates new and
  interesting challenges. In this talk\, we will discuss these challenges w
 ith respect to algorithmic approaches for a specific problem that often oc
 curs in data science applications: solving large-scale linear systems.  We
  will explore a range of algorithmic approaches\, from classical methods l
 ike Gradient Descent to more modern techniques such as Stochastic Gradient
  Descent (SGD)\, highlighting how these methods are adapted to handle the 
 complexities of big data efficiently. By examining both traditional and cu
 tting-edge algorithms\, we will provide insight into how numerical techniq
 ues evolve to meet the demands of contemporary data-driven applications.\n
LOCATION:https://researchseminars.org/talk/SimpleWords/3/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Nathan Kaplan (UC Irvine)
DTSTART:20241211T010000Z
DTEND:20241211T020000Z
DTSTAMP:20260422T225636Z
UID:SimpleWords/4
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/SimpleWords/
 4/">Error-Correcting Codes: The Mathematics of Communication</a>\nby Natha
 n Kaplan (UC Irvine) as part of Simple Words\n\nAbstract: TBA\n
LOCATION:https://researchseminars.org/talk/SimpleWords/4/
END:VEVENT
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