BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:US/Eastern BEGIN:DAYLIGHT DTSTART:20220313T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20221106T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20220504T171052Z UID:0D0B12B3-FD2B-425B-B8DD-8D6B8D0A8EFB DTSTART;TZID=US/Eastern:20220504T120000 DTEND;TZID=US/Eastern:20220504T130000 DESCRIPTION:The IEEE Atlanta Chapter of the Signal Processing Society and t he Engineering in Medicine and Biology Chapter is hosting IEEE SPS Disting uished Industry Lecturer Dr. Jerome Bellegarda to give a virtual talk:\n\n "Input Intelligence on Mobile Devices"\n\nAbstract. Over the past decade\, the confluence of sophisticated algorithms and tools\, computational infr astructure\, and data science has fueled a machine learning revolution acr oss multiple fields\, including speech and handwriting recognition\, natur al language processing\, computer vision\, social network filtering\, and machine translation. Ensuing advances are changing the way we interact wit h technology in our daily lives. This is particularly salient when it come s to user input on mobile devices\, be it speech\, handwriting\, touch\, k eyboard\, or camera input. Increased input intelligence boosts device resp onsiveness across languages\, improving not only basic abilities like toke nization\, named entity recognition and part-of-speech tagging\, but also more advanced capabilities like statistical language modeling and question answering. In this talk\, I will give selected examples of what we are do ing at Apple to impart input intelligence to mobile devices\, with two ove rarching themes as sub-text: (i) enhancing interaction experience through machine learning\, and (ii) transforming users' digital lives without sacr ificing their privacy.\n\nSpeaker(s): Dr. Jerome Bellegarda\, \n\nAtlanta\ , Georgia\, United States\, Virtual: https://events.vtools.ieee.org/m/3100 36 LOCATION:Atlanta\, Georgia\, United States\, Virtual: https://events.vtools .ieee.org/m/310036 ORGANIZER:wendy.newcomb@gtri.gatech.edu SEQUENCE:8 SUMMARY:Input Intelligence on Mobile Devices URL;VALUE=URI:https://events.vtools.ieee.org/m/310036 X-ALT-DESC:Description: <br /><p>The IEEE Atlanta Chapter of the Signal Pro cessing Society and the Engineering in Medicine and Biology Chapter is hos ting IEEE SPS Distinguished Industry Lecturer Dr. Jerome Bellegarda to giv e a virtual talk:</p>\n<p>"Input Intelligence on Mobile Devices"</p>\n<p>< strong>Abstract</strong>. Over the past decade\, the confluence of sophist icated algorithms and tools\, computational infrastructure\, and data scie nce has fueled a machine learning revolution across multiple fields\, incl uding&nbsp\;speech and handwriting recognition\, natural language processi ng\, computer vision\, social network filtering\, and machine translation. Ensuing advances are changing the way we&nbsp\;interact with technology i n our daily lives. This is particularly salient when it comes to user inpu t on mobile&nbsp\;devices\, be it speech\,&nbsp\;handwriting\,&nbsp\;touch \,&nbsp\;keyboard\, or camera input.&nbsp\; Increased&nbsp\;input&nbsp\;in telligence boosts device responsiveness across languages\, improving not o nly basic&nbsp\;abilities like tokenization\, named entity recognition and part-of-speech tagging\, but also&nbsp\;more advanced&nbsp\;capabilities& nbsp\;like&nbsp\;statistical language modeling and question answering.&nbs p\;In this talk\, I will give selected examples of what we are doing at Ap ple to impart input intelligence to&nbsp\;mobile devices\, with two overar ching themes as sub-text: (i) enhancing interaction experience through mac hine learning\, and (ii) transforming users' digital lives without sacrifi cing&nbsp\;their privacy.</p> END:VEVENT END:VCALENDAR