BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20260308T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20261101T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260405T171345Z UID:9C9000FE-477D-4B03-AAD6-8EF18EAA1080 DTSTART;TZID=America/New_York:20260423T190000 DTEND;TZID=America/New_York:20260423T203000 DESCRIPTION:Boston Chapter of the IEEE Computer Society and GBC/ACM\n\n7:00 PM\, Thursday\, 23 April 2026\n\nMIT Room 32-G449 (Kiva) and online via Z oom\n\nComplexity of the Internet—An AI Observation Science Perspective\ n\nJeremy Kepner\, MIT\n\nPlease register in advance for this seminar even if you plan to attend in person at\n\nhttps://acm-org.zoom.us/webinar/reg ister/6717750000324/WN_Z5KGSMQBSg2dzjM7s_X0mw\n\nAfter registering\, you w ill receive a confirmation email containing information about joining the webinar.Indicate on the registration form if you plan to attend in person. This will help us determine whether the room is close to reaching capacit y. We plan to serve light refreshments (probably pizza) before the talk st arting at around 6:30 pm. Letting us know you will come in person will hel p us determine how much pizza to order.\n\nWe may make some auxiliary mate rial such as slides and access to the recording available after the semina r to people who have registered.\n\nAbstract:\n\nWhat does “normal” lo ok like in a system that grows\, adapts\, and scales at extraordinary spee d? How do its underlying patterns shift as the network expands from its ea rly days to a billion-fold increase in scale?\n\nIn this seminar\, Dr. Kep ner will explore how advances in high-performance\, privacy-preserving AI graph analysis tools open new windows into the Internet’s behavior. His work sheds light on emergence\, structure\, and stability within this cons tantly changing global system.\n\nDr. Kepner will explain the deep connect ions between graphs and matrices and more general mathematical concepts of semirings and associative (token) arrays that are the foundations of mode rn large language model (LLM) agentic AI systems. These mathematical conce pts form the basis of the high performance GraphBLAS sparse matrix standar d and the D4M (Dynamic Distributed Dimensional Model) associative array li brary that can analyze the largest networks in the world while preserving privacy.\n\nBio:\n\nDr. Jeremy Kepner is an MIT Lincoln Laboratory Fellow. He founded the Lincoln Laboratory Supercomputing Center and pioneered the establishment of the Massachusetts Green High Performance Computing Cente r. He has developed novel big data and parallel computing software used by thousands of scientists and engineers worldwide. He has led several embed ded computing efforts\, which earned him a 2011 R&D 100 Award. Kepner has chaired the SIAM Data Mining conference\, the IEEE Big Data conference\, a nd the IEEE High Performance Extreme Computing conference. Kepner is the a uthor of two bestselling books\, Parallel MATLAB for Multicore and Multino de Computers\, and Graph Algorithms in the Language of Linear Algebra. His peer-reviewed publications include works on abstract algebra\, astronomy\ , astrophysics\, cloud computing\, cybersecurity\, data mining\, databases \, graph algorithms\, health sciences\, plasma physics\, signal processing \, and 3D visualization. In 2014\, he received Lincoln Laboratory's Techni cal Excellence Award. You can learn more about his work here: https://www. mit.edu/~kepner/\n\nKepner holds a BA degree in astrophysics from Pomona C ollege and a PhD degree in astrophysics from Princeton University. He is a fellow of the Society of Industrial Applied Mathematics (SIAM) and is a f aculty advisor to the MIT SIAM student group.\n\nDirections to 32-G449 - M IT Stata Center\, 32 Vassar Street\, Cambridge\, MA: Please use the main e ntrance to the Stata Center at 32 Vassar Street (the entrance closest to M ain street) as those doors will be unlocked. Upon entering\, proceed to th e elevators which will be on the right after passing a large set of stairs and a MITAC kiosk. Take the elevator to the 4th floor and turn right\, fo llowing the hall to an open area\; 32-G449 will be on the left. [Location of Stata on campus map](https://whereis.mit.edu/?go=32)\n\nThis joint meet ing of the Boston Chapter of the IEEE Computer Society and GBC/ACM will be hybrid (in person and online).\n\nUp-to-date information about this and o ther talks is available online at https://ewh.ieee.org/r1/boston/computer/ . You can sign up to receive updated status information about this talk an d informational emails about future talks at https://mailman.mit.edu/mailm an/listinfo/ieee-cs\, our self-administered mailing list.\n\nCo-sponsored by: gbc/acm\n\nSpeaker(s): Jeremy Kepner\, \n\nRoom: 32-G449 (Kiva)\, Bldg : MIT building 32\, 32 Vassar St\, Cambridge\, Massachusetts\, United Stat es\, Virtual: https://events.vtools.ieee.org/m/533802 LOCATION:Room: 32-G449 (Kiva)\, Bldg: MIT building 32\, 32 Vassar St\, Camb ridge\, Massachusetts\, United States\, Virtual: https://events.vtools.iee e.org/m/533802 ORGANIZER:p.mager@computer.org SEQUENCE:42 SUMMARY:Complexity of the Internet—An AI Observation Science Perspective URL;VALUE=URI:https://events.vtools.ieee.org/m/533802 X-ALT-DESC:Description: <br /><h2>Boston Chapter of the IEEE Computer Socie ty and GBC/ACM&nbsp\;</h2>\n<h4>7:00 PM\, Thursday\, 23 April 2026</h4>\n< p>MIT Room 32-G449 (Kiva) and online via Zoom</p>\n<h4>Complexity of the I nternet&mdash\;An AI Observation Science Perspective</h4>\n<h4>Jeremy Kepn er\, MIT</h4>\n<h4>Please register in advance for this seminar even if you plan to attend in person at</h4>\n<p class="p1">https://acm-org.zoom.us/w ebinar/register/6717750000324/WN_Z5KGSMQBSg2dzjM7s_X0mw</p>\n<p class="p1" >After registering\, you will receive a confirmation email containing info rmation about joining the webinar.Indicate on the registration form if you plan to attend in person. This will help us determine whether the room is close to reaching capacity. We plan to serve light refreshments (probably pizza) before the talk starting at around 6:30 pm. Letting us know you wi ll come in person will help us determine how much pizza to order.</p>\n<p class="p1">We may make some auxiliary material such as slides and access t o the recording available after the seminar to people who have registered. </p>\n<p class="p1">Abstract:</p>\n<p class="p1">What does &ldquo\;normal& rdquo\; look like in a system that grows\, adapts\, and scales at extraord inary speed? How do its underlying patterns shift as the network expands f rom its early days to a billion-fold increase in scale?</p>\n<p>In this se minar\, Dr. Kepner will explore how advances in high-performance\, privacy -preserving AI graph analysis tools open new windows into the Internet&rsq uo\;s behavior. His work sheds light on emergence\, structure\, and stabil ity within this constantly changing global system.</p>\n<p>Dr. Kepner will explain the deep connections between graphs and matrices and more general mathematical concepts of semirings and associative (token) arrays that ar e the foundations of modern large language model (LLM) agentic AI systems. These mathematical concepts form the basis of the high performance GraphB LAS sparse matrix standard and the D4M (Dynamic Distributed Dimensional Mo del) associative array library that can analyze the largest networks in th e world while preserving privacy.</p>\n<p>Bio:</p>\n<p>Dr. Jeremy Kepner i s an MIT Lincoln Laboratory Fellow. He founded the Lincoln Laboratory Supe rcomputing Center and pioneered the establishment of the Massachusetts Gre en High Performance Computing Center. He has developed novel big data and parallel computing software used by thousands of scientists and engineers worldwide. He has led several embedded computing efforts\, which earned hi m a 2011 R&amp\;D 100 Award. Kepner has chaired the SIAM Data Mining confe rence\, the IEEE Big Data conference\, and the IEEE High Performance Extre me Computing conference. Kepner is the author of two bestselling books\, P arallel MATLAB for Multicore and Multinode Computers\, and Graph Algorithm s in the Language of Linear Algebra. His peer-reviewed publications includ e works on abstract algebra\, astronomy\, astrophysics\, cloud computing\, cybersecurity\, data mining\, databases\, graph algorithms\, health scien ces\, plasma physics\, signal processing\, and 3D visualization. In 2014\, he received Lincoln Laboratory's Technical Excellence Award. You can lear n more about his work here: https://www.mit.edu/~kepner/</p>\n<p>Kepner ho lds a BA degree in astrophysics from Pomona College and a PhD degree in as trophysics from Princeton University. He is a fellow of the Society of Ind ustrial Applied Mathematics (SIAM) and is a faculty advisor to the MIT SIA M student group.</p>\n<p>Directions to 32-G449 - MIT Stata Center\, 32 Vas sar Street\, Cambridge\, MA: Please use the main entrance to the Stata Cen ter at 32 Vassar Street (the entrance closest to Main street) as those doo rs will be unlocked. Upon entering\, proceed to the elevators which will b e on the right after passing a large set of stairs and a MITAC kiosk. Take the elevator to the 4th floor and turn right\, following the hall to an o pen area\; 32-G449 will be on the left.&nbsp\;<a href="https://whereis.mit .edu/?go=32">Location of Stata on campus map</a></p>\n<p class="norm10">Th is joint meeting of the Boston Chapter of the IEEE Computer Society and GB C/ACM will be hybrid (in person and online).</p>\n<p>Up-to-date informatio n about this and other talks is available online at https://ewh.ieee.org/r 1/boston/computer/. You can sign up to receive updated status information about this talk and informational emails about future talks at https://mai lman.mit.edu/mailman/listinfo/ieee-cs\, our self-administered mailing list .</p> END:VEVENT END:VCALENDAR