SensMACH 2021 on November 9, 2021 Sensors and Machine Learning virtual meeting

SensMACH in collaboration with tinyML Foundation announces Sensors and Machine Learning virtual meeting (SensMACH 2021) on November 9, 2021 at 7:30 AM Pacific Time.

SENSMACH

IMPORTANT: Please register here

Registration is free but required.
SENSMACH registration will provide access to the SensMach program. Zoom URL will be provided after the registration.

Call for Participation: Industry – University Hybrid Meeting Sensors and Machine Learning
Industry-University Event, November 9, 2021, 7:30 am -10:30am PDT
Industry, ASU & TinyML PresentationsVirtual Meeting
Includes Tiny Machine Learning (TinyMLTM) Seminars

This is the 5th year we are holding this industry-university meeting.
The Program includes speakers from Qualcomm, NXP, Lightsense, Luxonis, and ASU.
Industry/UniversityTalks: TinyML, Sensors, IoT, TinyML and Arizona Heat
SENSMACH registration will provide access to the SensMach program. Zoom URLwill be provided after the registration.

Event Co-sponsored by ASU SenSIP Center (an NSF I/UCRC Site)
Contact: sensip@asu.edu

Preliminary SensMACH 2021 Program – Collaborative with the TinyML Phoenix Chapter
Tuesday, November 9th, 2021 (8:30AM to 11:30 AM MST)
Session Chair: Steve Whalley

8:30 - 8:40 Opening Remarks A. Spanias and Steve Whalley, Lightsense
8:40 - 8:50 The Tiny ML Foundation and the Phoenix TinyML Chapter, Evgeni Gousev, Qualcomm
8:50 - 9:20 Arizona Heat and the MaRTy Project, Ariane Middel, ASU AME & SCAI
9:20 - 9:35 Spatial AI on the edge, Erik Kokalj, Luxonis
9:35 - 9:50 TinyML technologies and Neuromorphic Computing, Katina Michael ASU SFIS & SCAI
9:50 - 10:05 Arizona Heat and Tiny ML R&D Opportunities, Suren Jauasuriya ASU AME & ECEE
10:05 - 10:20 Far-Field Speech Recognition at MCU-based Edge Device, Jongming Lee, NXP
10:20 - 10:35 On-Device Joint Human-Machine Decision Assessment for Remotely Operated Vehicles, Theo Theoharides, KIOS Center, UCy
10:35 - 10:50 IoT use-cases enabled by embedded machine learning using ultra-low power motion sensors, Dan Sadler, NXP
10:50 - 11:05 Mike Stanley, Machine Learning applied to Spectroscopy for Rapid Detection of Pathogens, Lighsense
11:05 - Discussion
11:30 - Adjourn

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IMPORTANT: Please register here

Once registered, you will receive a link and dial in information to Zoom teleconference by email, that you can also add to your calendar.

We encourage you to register earlier since on-line broadcast capacity may be limited.

Note: tinyML Talks slides and videos will be available here on the tinyML Forum and the tinyML YouTube Channel afterwards for those who missed the live session. Please take a moment and subscribe to the YouTube channel today

Feel free to ask your questions on this thread and keep the conversation going!

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