BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:US/Michigan BEGIN:DAYLIGHT DTSTART:20170312T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20171105T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20170220T175114Z UID:46025AE3-F600-11E6-A7C6-0050568D7F66 DTSTART;TZID=US/Michigan:20170315T180000 DTEND;TZID=US/Michigan:20170315T194500 DESCRIPTION:The history of NVIDIA and Graphical Processing Units (GPUs) is indeed a fascinating story. Once just a mere assistant to hobby then later mainstream game consoles\, now GPUs have become a major player in acceler ators for an entire spectrum of computing and beyond. In the world of big data\, machine learning\, artificial intelligence\, vision\, etc.\, the po wer of GPUs is viewed by all as being the prime driver and very central to making the GPU architecture both ubiquitous and very pervasive. The talk will trace this transition from Artificial Intelligence to Machine Learnin g to Deep Learning and Neural Networks. NVIDIA will introduce to us in gre at detail all about Deep Learning (DL) and Deep Neural Networks and all th e associated fundamentals. A stunning variety of different use cases will be presented\, as well as how one can get started in this arena.\n\nCo-spo nsored by: Subramaniam Ganesan\n\nSpeaker(s): Ty McKercher\, \, Ty McKerch er\, Kevin Williams\n\nAgenda: \n6:00 PM - Welcome and Introductions\, Cha pter business update\n\n6:15 PM - Technical Talk\n\n7:15 PM - Q & A\n\n7:4 5 PM - Wrap Up\n\n7:45 to close - Networking\n\nRoom: EC 116\, Bldg: Engin eering Center\, EC 116\, Engineering Center\, Oakland University\, Rochest er\, Michigan\, United States\, 48309-4479 LOCATION:Room: EC 116\, Bldg: Engineering Center\, EC 116\, Engineering Cen ter\, Oakland University\, Rochester\, Michigan\, United States\, 48309-44 79 ORGANIZER:sharan.kalwani@ieee.org SEQUENCE:3 SUMMARY:Technical Meeting: GPUs from Gaming to Deep Learning & Cancer Resea rch URL;VALUE=URI:https://events.vtools.ieee.org/m/43999 X-ALT-DESC:Description: <br /><p>The history of NVIDIA and Graphical Proces sing Units (GPUs) is indeed a fascinating story. Once just a mere assistan t to hobby then later mainstream game consoles\, now GPUs have become a ma jor player in accelerators for an entire spectrum of computing and beyond. In the world of big data\, machine learning\, artificial intelligence\, v ision\, etc.\, the power of GPUs is viewed by all as being the prime drive r and very central to making the GPU architecture both ubiquitous and very pervasive. The talk will trace this transition from Artificial Intelligen ce to Machine Learning to Deep Learning and Neural Networks. NVIDIA will i ntroduce to us in great detail all about Deep Learning (DL) and Deep Neura l Networks&nbsp\;&nbsp\; and all the associated fundamentals. A stunning v ariety of different use cases will be presented\, as well as how one can g et started in this arena.</p>\n<p>&nbsp\;</p><br /><br />Agenda: <br /><p> 6:00 PM - Welcome and Introductions\, Chapter business update</p>\n<p>6:15 PM - Technical Talk</p>\n<p>7:15 PM - Q &amp\; A</p>\n<p>7:45 PM - Wrap U p</p>\n<p>7:45 to close - Networking&nbsp\;</p>\n<p>&nbsp\;</p> END:VEVENT END:VCALENDAR