BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Detroit BEGIN:DAYLIGHT DTSTART:20210314T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20211107T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20210929T222412Z UID:EA38E3AB-362E-4874-8C9C-D6ACDD7651D3 DTSTART;TZID=America/Detroit:20210710T120000 DTEND;TZID=America/Detroit:20210710T130000 DESCRIPTION:This will be talk from a deep learning scientist at NVIDIA abou t her personal journey from studying engineering to working in the Artific ial Intelligence (AI) field.\n\nWith the recent boom in the field of Artif icial Intelligence and Machine learning\, opportunities in this domain hav e become competitive and the interview process has become mystified. Stude nts often find it hard to understand the skill-sets required for ML/ AI ro les. This makes their job search process tedious and introduces a potentia l disconnect in expectations from the industry and the interview prep for students. In this talk\, Subhashree Radhakrishnan will walk us through her journey in the field of AI and help demystify some of the technical know- hows pertaining to AI roles. She will give a technical overview of the wor k at NVIDIA and steps involved in productionizing AI models. She will prov ide students with a roadmap on how to hone their skills\, to land intervie ws\, excel in them and succeed in the role. Resources provided will includ e advice on networking\, technical information on current ongoing projects in the industry and specific expectations from candidates during intervie ws. She will also provide pointers and links to resources that will help b olster their technical skills in AI. Finally\, she will help answer some o f the commonly raised questions regarding different roles within a Machine Learning team\, responsibilities in different roles and making a career s witch into AI.\n\nSpeaker(s): Subhashree Radhakrishnan\, \n\nAgenda: \nAge nda:\n\n12:00 PM Technical Presentation with a Brief Intro by the Speaker + Personal Career Journey\n\n12:40 PM Questions and discussion\n\n1:00 PM Adjourn\n\nPittsburgh\, Pennsylvania\, United States\, Virtual: https://ev ents.vtools.ieee.org/m/273393 LOCATION:Pittsburgh\, Pennsylvania\, United States\, Virtual: https://event s.vtools.ieee.org/m/273393 ORGANIZER:pritika@ieee.org SEQUENCE:3 SUMMARY:Lunch Chat: Demystifying the AI Journey URL;VALUE=URI:https://events.vtools.ieee.org/m/273393 X-ALT-DESC:Description: <br /><p>This will be talk from a deep learning sci entist at NVIDIA about her personal journey from studying engineering to w orking in the Artificial Intelligence (AI) field.</p>\n<p>&nbsp\;</p>\n<p> With the recent boom in the field of Artificial Intelligence and Machine l earning\, opportunities in this domain have become competitive and the int erview process has become mystified. Students often find it hard to unders tand the skill-sets required for ML/ AI roles. This makes their job search process tedious and introduces a potential disconnect in expectations fro m the industry and the interview prep for students. In this talk\, Subhash ree Radhakrishnan will walk us through her journey in the field of AI and help demystify some of the technical know-hows pertaining to AI roles. She will give a technical overview of the work at NVIDIA and steps involved i n productionizing AI models. She will provide students with a roadmap on h ow to hone their skills\, to land interviews\, excel in them and succeed i n the role. Resources provided will include advice on networking\, technic al information on current ongoing projects in the industry and specific ex pectations from candidates during interviews. She will also provide pointe rs and links to resources that will help bolster their technical skills in AI. &nbsp\;Finally\, she will help answer some of the commonly raised que stions regarding different roles within a Machine Learning team\, responsi bilities in different roles and making a career switch into AI.</p><br />< br />Agenda: <br /><p><span style="font-weight: 400\;">Agenda:</span></p>\ n<p><span style="font-weight: 400\;">12:00 PM Technical Presentation with a Brief Intro by the Speaker + Personal Career Journey</span></p>\n<p><spa n style="font-weight: 400\;">12:40 PM Questions and discussion</span></p>\ n<p><span style="font-weight: 400\;">1:00 PM Adjourn</span></p> END:VEVENT END:VCALENDAR