BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:US/Eastern BEGIN:DAYLIGHT DTSTART:20190310T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20181104T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20181115T030411Z UID:8C0AB6B1-1242-4C55-9198-1EACD84AE493 DTSTART;TZID=US/Eastern:20181105T190000 DTEND;TZID=US/Eastern:20181105T203000 DESCRIPTION:#1) Machine Learning and Deep Learning Applications have been a pplied to fields including computer vision\, speech recognition\, natural language processing\, audio recognition\, social network filtering\, machi ne translation\, bioinformatics\, drug design and board game programs etc. \, where they have produced results comparable to and in some cases superi or to human experts.\n\n#2) Robot Operating System(ROS) is being widely us ed by leading robotics companies in the industry and academic institutions for a decade. ROS is also expected to be dominating the specialized robot ics and automation industry solutions for a long while. In contrast to its name\, it is actually not an operating system but rather an open-source r obotics middleware ie.\, a collection of software frameworks for robot sof tware development.\n\nDuring our monthly technical session during Nov 5th\ , Andrew Burruss from "Deep Learning RTP" group will walkthrough "A survey of Machine Learning Applications".\n\nWe will also walkthrough the basics of ROS architecture with simulation demo examples. After this first step\ , in a future session\, we will conduct a hands-on ROS practice workshop w ith specific set of exercises. Our objective is to create and enhance the ROS expertise in our local community.\n\nSpeaker Information:\n\nAndrew Bu russ is an experienced software professsional with a passion in Deep Learn ing technologies. Mahesh Balasubramaniam is an experienced Embedded platfo rm software/firmware developer. He is current IEEE ENCS R&A chapter chair & a hobbyist.\n\nParking Information:\n\nPlenty of free parking available at following locations adjacent to EB2 Building.\n\n890 Oval Drive\, Ralei gh\, NC 27606 (EB2 entry)\n\n911 Partners Way\, Raleigh NC 27606 (EB1 entr y)\n\n1070 Partners Way\, Raleigh\, NC 27606 (Hunts library 0.2m away)\n\n Agenda: \n6:30-7:00pm Networking with pizza and soda\n\nThe times below ar e approximate and are given just as a guideline:\n\n7:00-7:05pm News and a nnouncements\n\n7:05-7:40pm Survey of Machine Learning and Applications\n\ n7:40-8:20pm Robot Operating System(ROS) - Architecture basics with simula tion examples\n\n8:20-8:30pm Brief Q/A from IEEE students\, hobbyists\, pr ofessionals and seniors\n\nRoom: 1007\, Bldg: Engineering Building 1 (EB1) \, 911 Partners Way\, Raleigh\, North Carolina\, United States\, 27606 LOCATION:Room: 1007\, Bldg: Engineering Building 1 (EB1)\, 911 Partners Way \, Raleigh\, North Carolina\, United States\, 27606 ORGANIZER:maheshba@ieee.org SEQUENCE:4 SUMMARY:SURVEY OF MACHINE LEARNING APPLICATIONS\, ROS ARCHITECTURE BASICS W ITH SIMULATION URL;VALUE=URI:https://events.vtools.ieee.org/m/176665 X-ALT-DESC:Description: <br /><p>#1) Machine Learning and Deep Learning App lications&nbsp\;have been applied to fields including&nbsp\;computer visio n\, speech recognition\, natural language processing\, audio recognition\, social network filtering\, machine translation\, bioinformatics\, drug de sign and board game programs etc.\, where they have produced results compa rable to and in some cases superior to human experts.&nbsp\;&nbsp\;</p>\n< p>#2) Robot Operating System(ROS) is being widely used by leading robotics companies in the industry and academic institutions for a decade. ROS is also expected to be dominating the specialized robotics and automation ind ustry solutions for a long while. In contrast to its name\, it is actually not an operating system but rather an open-source robotics middleware ie. \, a collection of software frameworks for robot software development.</p> \n<p>During our monthly technical session during&nbsp\; Nov 5th\, Andrew B urruss from "Deep Learning RTP" group will walkthrough "A survey of Machin e Learning Applications".</p>\n<p>We will also walkthrough the basics of R OS architecture with simulation demo examples. After this first step\, in a future session\, we will conduct a hands-on ROS practice workshop with s pecific set of exercises. Our objective is to create and enhance the ROS e xpertise in our local community.</p>\n<p><strong><span style="text-decorat ion: underline\;">Speaker Information:</span></strong></p>\n<p>Andrew Buru ss is an experienced software professsional with a passion in Deep Learnin g technologies. Mahesh Balasubramaniam is an experienced Embedded platform software/firmware developer. He is current IEEE ENCS R&amp\;A chapter cha ir &amp\; a hobbyist.</p>\n<p><strong><span style="text-decoration: underl ine\;">Parking&nbsp\;Information:</span></strong></p>\n<p><strong>Plenty o f free parking available at following locations adjacent to EB2 Building.< /strong></p>\n<p>890 Oval Drive\, Raleigh\, NC 27606&nbsp\; &nbsp\;(EB2 en try)</p>\n<p>911 Partners Way\, Raleigh NC 27606 (EB1 entry)</p>\n<p>1070 Partners Way\, Raleigh\, NC 27606 (Hunts library 0.2m away)</p><br /><br / >Agenda: <br /><p>6:30-7:00pm Networking with pizza and soda</p>\n<p>The t imes below are approximate and are given just as a guideline:</p>\n<p>7:00 -7:05pm&nbsp\;News and announcements</p>\n<p>7:05-7:40pm <strong><span sty le="font-size: 12pt\;">Survey of Machine Learning and Applications</span>& nbsp\;</strong></p>\n<p>7:40-8:20pm<span style="font-size: 12pt\;"> <stron g>Robot Operating System(ROS) - Architecture basics with simulation exampl es</strong></span></p>\n<p>8:20-8:30pm Brief Q/A from IEEE students\, hobb yists\, professionals and seniors</p> END:VEVENT END:VCALENDAR