BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Los_Angeles BEGIN:DAYLIGHT DTSTART:20240310T030000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20241103T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20240426T164248Z UID:B27A228D-0902-4E19-A58B-B96D4B8E9DA6 DTSTART;TZID=America/Los_Angeles:20240424T183000 DTEND;TZID=America/Los_Angeles:20240424T200000 DESCRIPTION:Abstract\n\nSmart sensors enable a distributed computing approa ch which significantly reduces the bandwidth requirement for transferring sensor data when the edge computing capabilities in microcontrollers or se nsors are utilized. MEMS sensors are now commercially available with a bui lt-in Machine Learning Core (MLC)\, Finite State Machine (FSM) and Intelli gent Sensor Processing Unit (ISPU). These sensors can execute decision tre es\, neural networks\, and symbolic logic directly on the MEMS sensor die. This capability allows the user to develop a variety of applications for consumer\, industrial\, automotive or medical devices where power consumpt ion for applications needs to be minimized. This presentation will focus o n all aspects of on-sensor machine learning that are increasingly being us ed to build solutions with an always-on user experience with extremely low current consumption\, in order of single-digit micro-amps for MEMS sensor applications.\n\nSpeaker(s): Dr. Mahesh Chowdhary\n\nAgenda: \n6:30 – 7 :00 PM Registration & Networking\n\n7:00 – 7:45 PM Invited Talk\n\n7:45 – 8:00 PM Questions & Answers\n\nRoom: Geneva and Grenoble Conference Ro oms\, Bldg: 3rd Floor\, STMicroelectronics\, 2755 Great America Way\, Sant a Clara\, California\, United States\, 95054\, Virtual: https://events.vto ols.ieee.org/m/415057 LOCATION:Room: Geneva and Grenoble Conference Rooms\, Bldg: 3rd Floor\, STM icroelectronics\, 2755 Great America Way\, Santa Clara\, California\, Unit ed States\, 95054\, Virtual: https://events.vtools.ieee.org/m/415057 ORGANIZER:jeronimo.segovia@ieee.org SEQUENCE:23 SUMMARY:Intelligent MEMS Sensors with On-Sensor Tiny Machine Learning URL;VALUE=URI:https://events.vtools.ieee.org/m/415057 X-ALT-DESC:Description: <br /><p style="text-align: justify\;"><strong>Abst ract</strong></p>\n<p style="text-align: justify\;">Smart sensors enable a distributed computing approach which significantly reduces the bandwidth requirement for transferring sensor data when the edge computing capabilit ies in microcontrollers or sensors are utilized. MEMS sensors are now comm ercially available with a built-in Machine Learning Core (MLC)\, Finite St ate Machine (FSM) and Intelligent Sensor Processing Unit (ISPU). These sen sors can execute decision trees\, neural networks\, and symbolic logic dir ectly on the MEMS sensor die. This capability allows the user to develop a variety of applications for consumer\, industrial\, automotive or medical devices where power consumption for applications needs to be minimized. T his presentation will focus on all aspects of on-sensor machine learning t hat are increasingly being used to build solutions with an always-on user experience with extremely low current consumption\, in order of single-dig it micro-amps for MEMS sensor applications.</p><br /><br />Agenda: <br />< p data-key="32"><span data-key="33"><strong data-slate-leaf="true">6:30 &n dash\; 7:00 PM Registration &amp\; Networking</strong></span></p>\n<p data -key="34"><span data-key="35"><strong data-slate-leaf="true">7:00 &ndash\; 7:45 PM Invited Talk</strong></span></p>\n<p data-key="36" data-slate-fra gment="JTdCJTIyb2JqZWN0JTIyJTNBJTIyZG9jdW1lbnQlMjIlMkMlMjJkYXRhJTIyJTNBJTd CJTdEJTJDJTIybm9kZXMlMjIlM0ElNUIlN0IlMjJvYmplY3QlMjIlM0ElMjJibG9jayUyMiUyQ yUyMnR5cGUlMjIlM0ElMjJwYXJhZ3JhcGglMjIlMkMlMjJkYXRhJTIyJTNBJTdCJTIyY2xhc3N OYW1lJTIyJTNBbnVsbCU3RCUyQyUyMm5vZGVzJTIyJTNBJTVCJTdCJTIyb2JqZWN0JTIyJTNBJ TIydGV4dCUyMiUyQyUyMmxlYXZlcyUyMiUzQSU1QiU3QiUyMm9iamVjdCUyMiUzQSUyMmxlYWY lMjIlMkMlMjJ0ZXh0JTIyJTNBJTIyNiUzQTMwJTIwJUUyJTgwJTkzJTIwNiUzQTQ1JTIwUE0lM jAlMjBXZWJleCUyMFJlZ2lzdHJhdGlvbiUyMiUyQyUyMm1hcmtzJTIyJTNBJTVCJTdCJTIyb2J qZWN0JTIyJTNBJTIybWFyayUyMiUyQyUyMnR5cGUlMjIlM0ElMjJib2xkJTIyJTJDJTIyZGF0Y SUyMiUzQSU3QiU3RCU3RCU1RCU3RCU1RCU3RCU1RCU3RCUyQyU3QiUyMm9iamVjdCUyMiUzQSU yMmJsb2NrJTIyJTJDJTIydHlwZSUyMiUzQSUyMnBhcmFncmFwaCUyMiUyQyUyMmRhdGElMjIlM 0ElN0IlMjJjbGFzc05hbWUlMjIlM0FudWxsJTdEJTJDJTIybm9kZXMlMjIlM0ElNUIlN0IlMjJ vYmplY3QlMjIlM0ElMjJ0ZXh0JTIyJTJDJTIybGVhdmVzJTIyJTNBJTVCJTdCJTIyb2JqZWN0J TIyJTNBJTIybGVhZiUyMiUyQyUyMnRleHQlMjIlM0ElMjI2JTNBNDUlMjAlRTIlODAlOTMlMjA 3JTNBMzAlMjBQTSUyMCUyMEludml0ZWQlMjBUYWxrJTIyJTJDJTIybWFya3MlMjIlM0ElNUIlN 0IlMjJvYmplY3QlMjIlM0ElMjJtYXJrJTIyJTJDJTIydHlwZSUyMiUzQSUyMmJvbGQlMjIlMkM lMjJkYXRhJTIyJTNBJTdCJTdEJTdEJTVEJTdEJTVEJTdEJTVEJTdEJTJDJTdCJTIyb2JqZWN0J TIyJTNBJTIyYmxvY2slMjIlMkMlMjJ0eXBlJTIyJTNBJTIycGFyYWdyYXBoJTIyJTJDJTIyZGF 0YSUyMiUzQSU3QiUyMmNsYXNzTmFtZSUyMiUzQW51bGwlN0QlMkMlMjJub2RlcyUyMiUzQSU1Q iU3QiUyMm9iamVjdCUyMiUzQSUyMnRleHQlMjIlMkMlMjJsZWF2ZXMlMjIlM0ElNUIlN0IlMjJ vYmplY3QlMjIlM0ElMjJsZWFmJTIyJTJDJTIydGV4dCUyMiUzQSUyMjclM0EzMCUyMCVFMiU4M CU5MyUyMDclM0E0NSUyMFBNJTIwJTIwUXVlc3Rpb25zJTIwJTI2JTIwQW5zd2VycyUyMiUyQyU yMm1hcmtzJTIyJTNBJTVCJTdCJTIyb2JqZWN0JTIyJTNBJTIybWFyayUyMiUyQyUyMnR5cGUlM jIlM0ElMjJib2xkJTIyJTJDJTIyZGF0YSUyMiUzQSU3QiU3RCU3RCU1RCU3RCU1RCU3RCU1RCU 3RCU1RCU3RA=="><span data-key="37"><strong data-slate-leaf="true">7:45 &nd ash\; 8:00 PM Questions &amp\; Answers</strong></span></p> END:VEVENT END:VCALENDAR