Web content from previous administrations, is archived by the National Archive. (Eg https://bidenwhitehouse.archives.gov/)
You can grab the archived copy at https://bidenwhitehouse.archives.gov/oncd/briefing-room/2024...
65 karma · joined September 30, 2017
Web content from previous administrations, is archived by the National Archive. (Eg https://bidenwhitehouse.archives.gov/)
You can grab the archived copy at https://bidenwhitehouse.archives.gov/oncd/briefing-room/2024...
In fact, the students came up with a trigonometric proof of Pythagoras which was not circular: I.e. did not rely on anything derived from the Pythagorean theorem itself, and presented it at a regional AMS meeting.
Better write ups are: https://peopleofcolorintech.com/articles/have-two-black-teen...
Or
https://www.theguardian.com/us-news/2023/mar/24/new-orleans-...
A more painful and pertinent question might be: Can democracy adapt to a post-truth world, and the answer to that I fear is probably no. How can a democracy function if it’s citizenry can’t remain informed?
We (Learn Leap Fly) were a semi-finalist in that competition. We bet heavily on AI, but again, were a few years early (Note the constraints of the problem said that the devices were NOT connected to the internet, which makes things still challenging today)
We were also a semi finalist (round 3) in the AI XPRIZE (with the same tech).
We’ve thought about whether to resurrect the core ideas and give it another go. For that we need partners. Education isn’t the most lucrative of fields, it turns out.
That said, anyone who wants to go down this path, send me a note. I’m happy to talk nerdity on this topic all day, be it AI, literacy education, pedagogy or grand challenges!
There are 3 major federal parties (Liberals, Conservatives, NDP), who received 33%, 33%, and 18% of the popular vote respectively.
There are two minor federal parties (Greens and the People’s party) who together took around 7% of the popular vote, and
Finally there is the Bloc Québécois. It is a federal party but it exists only in one province. It grabbed around 8% last time.
Of course those percentages aren’t entirely representative, because seats are won in a first-past-the-post style in each riding.
> Can we use the high speed computer to do the sieve process? This was a highly parallel machine, before von Neumann spoiled it.
Source: https://www.canada.ca/en/financial-consumer-agency/services/... (and the marketing campaigns of the credit unions)
A quick suggestion, I’d love to see you add the “cyclic sighing” pattern from [1] as it’s recently gotten some amount of attention for it’s effectiveness, and is potentially less common than the others.
[1]: https://www.cell.com/cell-reports-medicine/fulltext/S2666-37...
Honest question: how can this be used for any kind of good? What’s the actual point?
One fish Two fish Red fish Blue fish.
Plus, he’s a huge Dune nerd, which comes through in occasionally hilarious ways.
Or, put another way, “perfect practice makes perfect.”
It absolutely matters what you practice, or you’re just training your fingers to stumble at the same spot every time, which is exactly what I did for decades before being introduced to deliberate practice.
So technically, we only hold one if things went wrong.
If we ever held an event where everything went right, then yes, we’d totally call that one an afterparty.
As you can imagine, we all became instant members of the “we need a better name for this process” club. Thank you, OP for giving us a completely viable alternative. I’m calling it a “disquisition” from here on in.
Honestly, just being able to set emacs full/split screen via a siri shortcut (and hence, any Shortcut script) would be unbelievably useful for automating pieces of my workflow.
I really love having a computer in a shared space. It helps turn “screen time” into “social time”
My experiences with the provincial registration system in Ontario, were the complete opposite of yours. They were very good. Once my demographic became eligible, it was a single form to book an appointment. The actual vaccine clinics were quite efficient, and the followup (if you opted-in) was quick and easy.
The hardest part was waiting. Vaccines supply was the issue, but given Canada’s bargaining position (essentially none?) I’m shocked we got them as quickly as we did.
> The Canadian Immunization Research Network is performing active surveillance for adverse events after immunization against COVID-19. You are being invited to take part because you have been vaccinated against COVID-19 and agreed to be contacted about vaccine studies. The purpose of the study is to see how often health events occur after COVID-19 vaccination. If you might be interested in helping with this surveillance, please visit https://CANVAS-COVID.ca for additional information on how to participate. Your participation is entirely voluntary.
Most research in this area is drawn from the domain of “Intelligent Tutoring Systems,” (ITSs), thoroughly described in Woolf’s book “Building Intelligent Interactive Tutors.” [WOOLFE2009].
I'd say the classic Intelligent Tutor System construction was pioneered by ADVISOR [BWB2000]. It's a two-agent architecture that first trains a student model on real-world data, then uses the student model to train a pedagogical agent using a more resource intensive algorithm. Most modern ITSs make use of Representation Learning (RL) to train the pedagogical agent.
One of the main techniques for structuring the problem domain is Bayesian Knowledge Tracing (BKT) [CA1995], where you model the domain being learned as a Bayesian skills network; i.e. a 4-tuple of probabilities (init, learning, guess, slip), updated in a Bayesian fashion. An excellent survey work in this area is given in [BGTPF2010].
If you're interested in the RL part of the problem, and how it can work with this setup you might want to look into partially observable Markov decision process — POMDPs. Emma Brunskill has done some nice work in this area.
[WOOLF2009]: Woolf, Beverly Park. 2009. Building Intelligent Interactive Tutors: Student-Centered Strategies for Revolutionizing e-Learning. Amsterdam ; Boston: Morgan Kaufmann Publishers/Elsevier.
[BWB2000]: Beck, Joseph, Beverly Park Woolf, and Carole R. Beal. "ADVISOR: A machine learning architecture for intelligent tutor construction." AAAI/IAAI 2000 (2000): 552-557.
[CA1995]: Corbett, Albert T., and John R. Anderson. "Knowledge tracing: Modeling the acquisition of procedural knowledge." User modeling and user-adapted interaction 4, no. 4 (1994): 253-278.
[BGTPF2010]: Brunskill, Emma, Sunil Garg, Clint Tseng, Joyojeet Pal, and Leah Findlater. "Evaluating an adaptive multi-user educational tool for low-resource environments." In Proceedings of the IEEE/ACM International Conference on Information and Communication Technologies and Development, pp. 13-16. 2010.
https://github.com/hackalog/cookiecutter-easydata
The framework makes use of conda environments, python 3.6+, makefiles, and jupyter notebooks, so if that tooling fits into your data/ML workflow.
We gave a tutorial on the framework at Pydata NYC, and it’s still very much in active development - we refine it with every new project we work on. The tutorial is available from:
https://github.com/hackalog/bus_number
While it works well for our projects, the more real-world projects we throw at it, the better the tooling gets, so we’d love to hear from anyone who want to give it a shot.