Загрузка страницы

tinyML Summit 2022: Sensing Applications as a Driver for TinyML Solutions

tinyML Summit 2022
Sensing Session
Sensing Applications as a Driver for TinyML Solutions
Victor PANKRATIUS, Director / Head of Global Software Engineering, Bosch Sensortec GmbH

New generations of sensors are increasingly equipped with microcontrollers and computing capabilities that enable local machine learning in millimeter-sized packages. This talk presents examples and use cases where sensing applications have become a major driver for TinyML in ultra-low power contexts. Applications are shown for intelligent Micro-Electro-Mechanical Systems (MEMS) in motion learning, sports analytics, and gas and environmental sensing. Looking at the software stack, the talk also addresses the importance of formalizing and including domain knowledge into ML as an additional leverage for optimizations, such as shrinking memory footprints, making trade-offs in signal processing, and algorithmic choice. Learning from individual success stories, our insights help sketch a bigger picture for TinyML ecosystems and platforms that are beginning to take shape, and how various groups and communities can be engaged.

Видео tinyML Summit 2022: Sensing Applications as a Driver for TinyML Solutions канала The tinyML Foundation
Показать
Комментарии отсутствуют
Введите заголовок:

Введите адрес ссылки:

Введите адрес видео с YouTube:

Зарегистрируйтесь или войдите с
Информация о видео
4 мая 2022 г. 4:38:59
00:26:52
Другие видео канала
tinyML Talks Taiwan in Mandarin and English: Discovering tinyMLtinyML Talks Taiwan in Mandarin and English: Discovering tinyMLtinyML Neuromorphic Engineering Forum - Sensors SessiontinyML Neuromorphic Engineering Forum - Sensors SessiontinyML Vision Challenge - Himax & Edge ImpulsetinyML Vision Challenge - Himax & Edge ImpulsetinyML Talks Chao Xu: Enabling Neural network at the low power edge: A neural network compiler...tinyML Talks Chao Xu: Enabling Neural network at the low power edge: A neural network compiler...SensMACH 2020 Daniel Situnayake: Embedded machine learning in the real worldSensMACH 2020 Daniel Situnayake: Embedded machine learning in the real worldtinyML Talks: Empowering the Edge: Practical Applications of Embedded Machine Learning on MCUstinyML Talks: Empowering the Edge: Practical Applications of Embedded Machine Learning on MCUstinyML Talks: Efficient AI for Wildlife ConservationtinyML Talks: Efficient AI for Wildlife ConservationtinyML Research Symposium 2022: Towards Agile Design of Neural Processing Units with ChiseltinyML Research Symposium 2022: Towards Agile Design of Neural Processing Units with ChiseltinyML Talks Phoenix: Novel Device and Materials in Emerging Memory for Neuromorphic ComputingtinyML Talks Phoenix: Novel Device and Materials in Emerging Memory for Neuromorphic ComputingtinyML Talks - Phoenix meetup: Analog TinyML for health management using intelligent wearablestinyML Talks - Phoenix meetup: Analog TinyML for health management using intelligent wearablestinyML Talks India: Single Lead ECG Classification On Wearable and Implantable DevicestinyML Talks India: Single Lead ECG Classification On Wearable and Implantable DevicestinyML Summit 2023:Personal Computing devices use-case and applications enabled by Smart SensorstinyML Summit 2023:Personal Computing devices use-case and applications enabled by Smart SensorstinyML Talks: From the lab to the edge: Post-Training CompressiontinyML Talks: From the lab to the edge: Post-Training CompressiontinyML Talks: State of Hardware & Software Ecosystem for Low-Power ML Applications on RISC-VtinyML Talks: State of Hardware & Software Ecosystem for Low-Power ML Applications on RISC-VtinyML Talks: Meetup Italy with small-medium industriestinyML Talks: Meetup Italy with small-medium industriestinyML Hackathon Challenge  2023 -  Infineon XENSIV 60GHz Radar Sensor and devkit explanationtinyML Hackathon Challenge 2023 - Infineon XENSIV 60GHz Radar Sensor and devkit explanationtinyML Auto ML Tutorial with QeexotinyML Auto ML Tutorial with QeexotinyML On Device Learning Forum - Warren Gross: On-Device Learning For Natural Language Processing..tinyML On Device Learning Forum - Warren Gross: On-Device Learning For Natural Language Processing..EMEA 2021 tiny Talks: Building Heterogeneous TinyML PipelinesEMEA 2021 tiny Talks: Building Heterogeneous TinyML PipelinestinyML EMEA 2022- Eran Treister: Wavelet Feature Maps Compression for Image-to-Image CNNstinyML EMEA 2022- Eran Treister: Wavelet Feature Maps Compression for Image-to-Image CNNs
Яндекс.Метрика