BEGIN:VCALENDAR VERSION:2.0 PRODID:-//AUA Newsroom - ECPv6.2.9//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:AUA Newsroom X-ORIGINAL-URL:https://newsroom.aua.am X-WR-CALDESC:Events for AUA Newsroom REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:Asia/Yerevan BEGIN:STANDARD TZOFFSETFROM:+0400 TZOFFSETTO:+0400 TZNAME:+04 DTSTART:20220101T000000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=Asia/Yerevan:20221018T170000 DTEND;TZID=Asia/Yerevan:20221018T180000 DTSTAMP:20240329T091455 CREATED:20221012T114309Z LAST-MODIFIED:20221014T114510Z UID:50586-1666112400-1666116000@newsroom.aua.am SUMMARY:Branchless Computing DESCRIPTION:About the Event: \nHave you ever written code as below?\n-void f(bool b\, long x\, long& s) { if (b) s += x; } \nWould you like to discover how much performance you left on the table? With a small change\, that function could be made 2.5 times faster. \nWhat about another code?\n-if (a[i] && b[i]) do_something(); else do_something_else() \nDid you know that under some not-so-exotic conditions\, this line runs four times slower than it could? \nJoin us for “Branchless Computing: Why Conditions are Bad and What Can You Do About It?” lecture by Dr. Fedor Pikus\, technical fellow and head of the Advanced Projects Team in Siemens Digital Industries Software. During the event\, you will: \n-learn how modern CPUs handle computations to ensure that the hardware is used efficiently; \n-discover how conditional code disrupts the ideal flow of computations and the countermeasures employed by the CPU designers to retain good performance in the presence of such code. \nJoin us on October 18 at 17:00 in AUA’s room 308e (PAB). Prior registration is required. Please register here. \nAbout the Speaker: \nFedor G Pikus is a technical fellow and head of the Advanced Projects Team in Siemens Digital Industries Software. His earlier positions included a senior software engineer at Google and chief scientist at Mentor Graphics (acquired by Siemens Software). He joined Mentor Graphics in 1998\, when he made a switch from academic research in computational physics to the software industry. His responsibilities as a technical fellow include planning the long-term technical direction of Calibre products\, directing and training engineers who work on these products\, design and architecture of the software\, and research in new design and software technologies. Fedor has over 25 patents and over 100 papers and conference presentations on physics\, EDA\, software design\, and C++ language. \nLanguage: English URL:https://newsroom.aua.am/event/branchless-computing/ LOCATION:308E\, PAB\, Baghramyan 40\, Yerevan\, Armenia CATEGORIES:Events Calendar,Science & Engineering ATTACH;FMTTYPE=image/jpeg:https://newsroom.aua.am/files/2022/10/CSE_Branchless_Computing_Banner-1.jpg ORGANIZER;CN="Akian College of Science and Engineering (CSE)":MAILTO:info@aua.am, cse@aua.am END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Yerevan:20221020T190000 DTEND;TZID=Asia/Yerevan:20221020T210000 DTSTAMP:20240329T091455 CREATED:20221014T080748Z LAST-MODIFIED:20221017T081419Z UID:50676-1666292400-1666299600@newsroom.aua.am SUMMARY:How Geometry Helps in Data Analysis and ML Problems DESCRIPTION:About the Event: \nWe are excited to announce that PyData Yerevan 4th Monthly Meetup is on its way! \nOur speaker Denis Fedoseev\, who obtained Ph.D. in Mathematics\, will give a talk on “How Geometry Helps in Data Analysis and ML Problems?” \nMany ML models work with geometrical representations of data: from simple linear regression to convoluted NN algorithms sending images to vectors in unspeakably high-dimensional feature space. That makes geometry and\, in particular\, differential geometry a powerful tool to tackle ML problems. \nIn this talk\, Denis Fedoseev will give a brief outline of the geometrical concepts and methods which can be used in this context\, including: \n-the general notion of manifold (which will help to understand the Manifold hypothesis in data science) \n-tangent space \n-Riemannian metric \n-Minkowski dimension \nSave the date to join us on October 20\, at 19:00\, in the 314W PAB room at the American University of Armenia to explore more with the PyData Yerevan community. \nAbout the Speaker: \nDenis Fedoseev has obtained Ph.D. in Mathematics specializing in geometry and topology from Moscow State University in 2015 and since then worked in the field of knot theory and related areas of low-dimensional topology. \nFor the last two years participated in a joint project of MSU and Huawei corporation on the application of geometric methods in computer vision problems. Since then\, got fascinated with the world of machine learning\, neural networks\, and AI capabilities. \nLanguage: English URL:https://newsroom.aua.am/event/how-geometry-helps-in-data-analysis-and-ml-problems/ LOCATION:314W\, PAB CATEGORIES:Events Calendar,Science & Engineering ATTACH;FMTTYPE=image/jpeg:https://newsroom.aua.am/files/2022/10/PyData_4th_Meetup_Banner.jpg ORGANIZER;CN="Akian College of Science and Engineering (CSE)":MAILTO:info@aua.am, cse@aua.am END:VEVENT END:VCALENDAR