Hello all,
I just received a request from the people over at The Village, the
encampment/occupation that was set up last week at the park on MLK & 36th.
They wanted me to ask if people at the Sudoroom were able to help them get
Wi-Fi set up over there. At one of last week's Assemblies Matt Senate
suggested that Sudomesh was probably able to provide hardware for setting
up an access point.
The latest info I have (a few days old) is that Eli's across the street
would be willing to share …
[View More]their connection, but I'm still verifying if that
case.
Would anyone interested to help be willing to either respond here, or
preferably via Signal (my number is 510-771-7463).
Thanks, I will report back once I know more details.
Sierk
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As part of the new node dashboards, we need to gather info from the nodes
and pass it to the frontend dashboard app. There were some shell scripts
but they weren't very complete and I couldn't find them yesterday, so I sat
down to learn awk. Awk is very graceful for parsing data out of text, but I
found it cumbersome generating json from the data in its memory.
SO I just did it with Go. Go compiles to machine code that will run easily
on the routers (unlike js). Also, it will be good for doing …
[View More]other things to
build up the data, like pinging endpoints etc. Here is the repo:
https://github.com/sudomesh/node-info-go
I will be at the meeting tomorrow to talk about how to harvest the rest of
the data we need to build a full dashboard.
-Jehan
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Hi!
I think this might be interesting to some. I would guess you can
participate in the class even if you are not a student.
Mitar
-------- Forwarded Message --------
From: Anant SAHAI <sahai(a)eecs.berkeley.edu>
Subject: [eecs-grads] Course Announcement: CS294 Collaborative
Intelligent Agents and the DARPA Spectrum Collaboration Challenge
To: eecs-grads(a)eecs.berkeley.edu, eecs-announce(a)eecs.berkeley.edu
Dear EECS grad students,
I'm offering a research-oriented 294 course this …
[View More]semester, it will be held
MW 1-2:30pm in 310 Soda.
Course Description:
This research-oriented course is about bringing artificial intelligence
techniques based on machine learning and adaptation to the problem of
collaboration rather than competition. Can we make agents that collaborate
with each other without such agents having to be co-designed from the
start? (i.e. How can we learn to collaborate with strangers?) This is an
emerging research frontier with many fundamental problems and in this
course, we are going to get to the frontier and together, explore beyond it.
The hope is that many of the course projects will evolve into research
papers (or even dissertations if so desired).
To make things concrete, we will use the new DARPA Spectrum Collaboration
Challenge as an example problem domain. In the last decade, the DARPA
challenges were instrumental in kicking self-driving car technology into
high gear. This new challenge aims to do the same for collaborative
intelligence. Berkeley was selected to field a team in this challenge.
Students do not require a wireless background to participate, as we will do
a quick pass through the basics of wireless communication and networking as
a small part of this course. The course is open to a diverse set of
backgrounds. In particular, students with a background in human computer
interaction, game-theory, networking, or learning are particularly
welcomed, but none of these are required background. If you have non-EECS
friends that you think would be interested, they are welcome too.
This is room-shared as a 194 and 294 pair. Consequently, for those graduate
students who would like to do a group project involving an undergrad, this
could be a fun way to do that. However, working with undergrads will not be
required.
--
http://mitar.tnode.com/https://twitter.com/mitar_m
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