- Raspberry Pi - popular Linux SBCs, and now some really cool microcontrollers
- MESH — drop-in DIY IoT components
- Particle — Connected prototyping for wifi and cell-based products
- Hologram — similar to Particle
- Electric Imp — Connected device platform, with modules and services; part of Twilio now
Intel Edison — Tiny x86-class boarddead and buriedC.H.I.P — $9 computing platformseems to be gone now- bluz — BLE boards, compatible with Particle Cloud
| Taught by Jerome Petazzo, 7November2015 | |
| >docker version #returns both the client and server versions of docker, Go, git, and OS | |
| docker daemon and docker engine mean the same thing | |
| docker user is root equivalent, you should restrict access to it, e.g. | |
| >sudo groupadd docker | |
| >sudo gpasswd -a $USER docker |
As I reflect on the Internet of Things, I have been working on a personal definition of the capabilities of devices and objects that participate in IoT. I want to have a framework for thinking about how these objects interact with the world and each other.
Note: When I first wrote this back in 2014 (12 years ago!), the state of the art of automation and machine learning was very different than it is in 2026. We have crossed a boundary into a deeper exploration of "AI", lead by the push to use Large Language Models, generatitve systems, and agents. There have also been significant improvements to the SOA for robotics, with complex "humanoid" robots creeping closer to real-world applications. How much of this technology is likely to make it into real world applications at scale is still an open question.
_What is certain is that there is a lot of buzz about Physical or Embodied AI and that the term IoT is somewhat out of fashion. Even though
#A Collection of NLP notes
##N-grams
###Calculating unigram probabilities:
P( wi ) = count ( wi ) ) / count ( total number of words )
In english..