RetroFed Forum

Unofficial community for discussions, projects, and news related to TinyML.

Tiny machine learning is broadly defined as a fast growing field of machine learning technologies and applications including hardware (dedicated integrated circuits), algorithms and software capable of performing on-device sensor (vision, audio, IMU, biomedical, etc.) data analytics at extremely low power, typically in the mW range and below, and hence enabling a variety of always-on use-cases and targeting battery operated devices.

Welcome to the nostalgia-filled piefed instance of yesteryear.

Open Registration with Application questionnaire.

If you have a question or comment you can post in !meta@retrofed.com or message @DosDude@retrofed.com or @Die4Ever@retrofed.com

In case of downtime and/or emergency, we will post updates on @DosDude@mastodon.social

Some rules we try to uphold:

Be civil. Bigotry is not welcome. This includes (but is not limited to): transphobia, queerphobia, racism, ageism and ableism. We do not promote hate.
Communities need to be Retro or Retro-adjacent.
Please don't upload pornographic content. (use an external image host for that)

Unofficial community for discussions, projects, and news related to TinyML.

Tiny machine learning is broadly defined as a fast growing field of machine learning technologies and applications including hardware (dedicated integrated circuits), algorithms and software capable of performing on-device sensor (vision, audio, IMU, biomedical, etc.) data analytics at extremely low power, typically in the mW range and below, and hence enabling a variety of always-on use-cases and targeting battery operated devices.

Unofficial community for discussions, projects, and news related to TinyML.

Tiny machine learning is broadly defined as a fast growing field of machine learning technologies and applications including hardware (dedicated integrated circuits), algorithms and software capable of performing on-device sensor (vision, audio, IMU, biomedical, etc.) data analytics at extremely low power, typically in the mW range and below, and hence enabling a variety of always-on use-cases and targeting battery operated devices.

Welcome to the nostalgia-filled piefed instance of yesteryear.

Open Registration with Application questionnaire.

If you have a question or comment you can post in !meta@retrofed.com or message @DosDude@retrofed.com or @Die4Ever@retrofed.com

In case of downtime and/or emergency, we will post updates on @DosDude@mastodon.social

Some rules we try to uphold:

Be civil. Bigotry is not welcome. This includes (but is not limited to): transphobia, queerphobia, racism, ageism and ableism. We do not promote hate.
Communities need to be Retro or Retro-adjacent.
Please don't upload pornographic content. (use an external image host for that)

	Replies	Author	Score	Last Post
Sticky: Resources for TinyML	0	Fried_out_Kombi	1	Sun Jul 2, 2023 9:20 pm »

tinyML Talks webcast: Datasheets for Machine Learning Sensors \| Tuesday, July 11th (us02web.zoom.us)	0	Fried_out_Kombi	1	Tue Jul 11, 2023 12:05 am »