Matthew Stewart - The emerging world of ML sensors
Matt Stewart, a deep learning and TinyML researcher at Harvard University, is back on the TDS Podcast to discuss ML sensors and the challenging ethical, privacy, and operational questions introduced by them.
Intro music:
➞ Artist: Ron Gelinas
➞ Track Title: Daybreak Chill Blend (original mix)
➞ Link to Track: https://youtu.be/d8Y2sKIgFWc
0:00 Intro
3:20 Special challenges with TinyML
9:00 Most challenging aspects of Matt’s work
12:30 ML sensors
21:30 Customizing the technology
24:45 Data sheets and ML sensors
31:30 Customers with their own custom software
36:00 Access to the algorithm
40:30 Wrap-up
Видео Matthew Stewart - The emerging world of ML sensors канала Towards Data Science
Intro music:
➞ Artist: Ron Gelinas
➞ Track Title: Daybreak Chill Blend (original mix)
➞ Link to Track: https://youtu.be/d8Y2sKIgFWc
0:00 Intro
3:20 Special challenges with TinyML
9:00 Most challenging aspects of Matt’s work
12:30 ML sensors
21:30 Customizing the technology
24:45 Data sheets and ML sensors
31:30 Customers with their own custom software
36:00 Access to the algorithm
40:30 Wrap-up
Видео Matthew Stewart - The emerging world of ML sensors канала Towards Data Science
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
![Nicolas Miailhe - AI risk is a global problem](https://i.ytimg.com/vi/cKclc-KThIE/default.jpg)
![Yan Li - The surprising challenges of global AI philanthropy](https://i.ytimg.com/vi/YiEhL28UCj8/default.jpg)
![Kevin Hu - Data observability and why it matters](https://i.ytimg.com/vi/j6FLnS5pgG4/default.jpg)
![Tan Vachiramon - Choosing the right algorithm for your real-world problem (TDS Podcast - Clip)](https://i.ytimg.com/vi/1Kjnf8miIFs/default.jpg)
![Danijar Hafner - Gaming our way to AGI](https://i.ytimg.com/vi/Bgz9eMcE5Do/default.jpg)
![Beena Ammanath - Defining trustworthy AI](https://i.ytimg.com/vi/4-0CFNaFNEc/default.jpg)
![Scaling Machine Learning | Razvan Peteanu](https://i.ytimg.com/vi/aPP4ynaJT9U/default.jpg)
![Panel: Creative Ways to Collect & Use Data for AI | H. Ngo, S. Sun, H. Kontozopoulos, and R. Tabrizi](https://i.ytimg.com/vi/GLcoTaSqHsQ/default.jpg)
![George Hayward: comedian, lawyer and data scientist (TDS Podcast - Clip)](https://i.ytimg.com/vi/x2EaniZseu8/default.jpg)
![Explaining With Impact | Sheldon Fernandez and Michael St. Jules](https://i.ytimg.com/vi/yKMq_1m486I/default.jpg)
![Ben Garfinkel - Superhuman AI and the future of democracy and government](https://i.ytimg.com/vi/QHEEQqh7wd4/default.jpg)
![Last Week In AI — 2021: The (full) year in review](https://i.ytimg.com/vi/9Wl5_t2qNV4/default.jpg)
![Eliano Marques - The (evolving) world of AI privacy and data security](https://i.ytimg.com/vi/9yRl4BDTxSg/default.jpg)
![Joaquin Quinioñero-Candela - Responsible AI at Facebook](https://i.ytimg.com/vi/UKd8hpOl1tQ/default.jpg)
![Irina Rish - Out-of-distribution generalization](https://i.ytimg.com/vi/QjXFN4UWZCg/default.jpg)
![Real Talk with the Director of Data Science at Columbia University](https://i.ytimg.com/vi/RYa2Kcub4NU/default.jpg)
![New to Data Visualization? Start with New York City | Thomas Hikaru Clark](https://i.ytimg.com/vi/Xyn8-2YEFOQ/default.jpg)
![Max Jaderberg - Open-ended learning at DeepMind](https://i.ytimg.com/vi/1yVoNAMLIy0/default.jpg)
![Katya Sedova - AI-powered disinformation, present and future](https://i.ytimg.com/vi/AAe_ZfW0pP8/default.jpg)
![Stuart Armstrong - AI: Humanity's Endgame?](https://i.ytimg.com/vi/Zr97Cxso4W4/default.jpg)
![Fail to Scale | Ian Scott](https://i.ytimg.com/vi/Cod4v_enYb4/default.jpg)