Seminars relevant to Informatics

[Andrew Macnaughtan <andrew.macnaughtan AT ed.ac.uk>]

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ORGANIZER;CN=Andrew Macnaughtan:mailto:andrew.macnaughtan AT ed.ac.uk
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=inf-semina
 rs AT mlist.is.ed.ac.uk :mailto:inf-seminars AT mlist.is.ed.ac.uk
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=members IC
 SA:mailto:icsa-members AT inf.ed.ac.uk
DESCRIPTION;LANGUAGE=en-GB:Good afternoon\,\n\nAn ICSA visitor seminar will
  be taking place on Wednesday 28th October at 11am in room G.03\nDr Anton 
 Lokhmotov (University of Cambridge) will be speaking.\n\nIf anyone wishes 
 to meet Dr Lokhmotov please contact Boris Gort - Boris.Grot AT ed.ac.uk\n\nTi
 tle: Optimizing AI Infrastructure: Systematically\, Agentically\, Collecti
 vely\nMaking AI software fit AI hardware like a glove\n\nAbstract: AI infr
 astructure is the hardware and software that AI runs on: specialized serve
 rs with accelerator chips\, memories\, networks\, and frameworks\, runtime
 s\, compilers\, kernels that turn models into computation. AI Infrastructu
 re is essential to both training and deploying AI\, and it largely determi
 nes how fast\, how expensive\, and how energy-hungry the result is.\nMakin
 g AI software fit AI hardware like a glove is hard. There are never enough
  experts or enough time to achieve the most ambitious and effective optimi
 zation across diverse workloads\, target hardware\, and user-specific perf
 ormance\, quality\, and cost requirements.\nAt KRAI\, we are working with 
 leading companies to automate low-level optimization through systematic ag
 entic engineering. In one striking case\, we accelerated a reference imple
 mentation of a frontier open-source model by over 1\,000 times in under a 
 week. In this talk\, I will share several examples\, and what they taught 
 us: the good\, the bad\, and the ugly of putting AI agents to work on real
  optimization problems.\nThese experiences underpin The Collective\, our f
 ramework of cooperating specialized agents that tirelessly work together t
 o optimize AI infrastructure automatically. I will describe how it is desi
 gned\, where agents already help\, where they still fall short\, and which
  open problems are worth tackling. Attendees will leave with a practical s
 ense of what agentic optimization can and cannot do today\, and where they
  could contribute.\n\nBrief Bio: Dr Anton Lokhmotov has spent over 20 year
 s designing and optimizing computer systems as an entrepreneur\, engineer\
 , and researcher. In 2020\, he founded KRAI to build ultra-efficient\, cos
 t-effective systems for Artificial Intelligence applications. Previously\,
  he co-founded dividiti (dv/dt) and led GPU Compute (OpenCL) compiler deve
 lopment at Arm.\nKRAI leverages the team’s decades of expertise in autom
 ated optimization to reduce the total cost of ownership (TCO) and mitigate
  risks of deploying AI solutions in enterprise.\n\nAs a Founding Member of
  MLCommons' MLPerf benchmarking competitions\, the KRAI team has acted as 
 an "Olympic coach" to industry leaders such as Qualcomm\, Google\, Nebius\
 , HPE and Dell\, contributing to some of the fastest and most energy-effic
 ient results in MLPerf history.\nDr Lokhmotov holds a PhD in Computer Scie
 nce from the University of Cambridge\, where he is an External Member of t
 he Faculty Board.\n\nKind regards\,\n\nAndrew\n\nThe University of Edinbur
 gh is a charitable body\, registered in Scotland\, with registration numbe
 r SC005336. Is e buidheann carthannais a th’ ann an Oilthigh Dhùn Èide
 ann\, clàraichte an Alba\, àireamh clàraidh SC005336.\n
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 0100000008F381438AD0FD24AA342196C02B5D021
SUMMARY;LANGUAGE=en-GB:ICSA Visitor Seminar - Wednesday 28th October 11:00\
 , Room G03\, Speaker: Dr Anton Lokhmotov (University of Cambridge) 
DTSTART;TZID=GMT Standard Time:20261028T110000
DTEND;TZID=GMT Standard Time:20261028T120000
CLASS:PUBLIC
PRIORITY:5
DTSTAMP:20261022T153644Z
TRANSP:OPAQUE
STATUS:CONFIRMED
SEQUENCE:1
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