Tootfinder

Just pulled the @… card on #WikiGacha 🤣 #noxp

Primer to get you started with Optimization and Mathematical Programming in R #rstats

CRAN Task View: Optimization and Mathematical Programming
This CRAN Task View contains a list of packages that offer facilities for solving optimization problems. Although every regression model in statistics solves an optimization problem, they are not part of this view. If you are looking for regression methods, the following views will also contain useful starting points: MachineLearning, Econometrics, Robust Packages are categorized according to the following sections. See also the “Related Links” and “Other Resources” sections at the end.

Open-Source Thermostatic Radiator Valve (OpenTRV) - OpenTRV retrofit open-source reference mechanical/hardware/software design for zoned heating to save carbon and money. #OpenTRV #TRV #heating

Open-Source Thermostatic Radiator Valve (OpenTRV)
OpenTRV retrofit open-source reference mechanical/hardware/software design for zoned heating to save carbon and money. #OpenTRV #TRV #heating #cutCarbon

ProxyFL: A Proxy-Guided Framework for Federated Semi-Supervised Learning
Duowen Chen, Yan Wang
https://arxiv.org/abs/2602.21078 https://arxiv.org/pdf/2602.21078 https://arxiv.org/html/2602.21078
arXiv:2602.21078v1 Announce Type: new
Abstract: Federated Semi-Supervised Learning (FSSL) aims to collaboratively train a global model across clients by leveraging partially-annotated local data in a privacy-preserving manner. In FSSL, data heterogeneity is a challenging issue, which exists both across clients and within clients. External heterogeneity refers to the data distribution discrepancy across different clients, while internal heterogeneity represents the mismatch between labeled and unlabeled data within clients. Most FSSL methods typically design fixed or dynamic parameter aggregation strategies to collect client knowledge on the server (external) and / or filter out low-confidence unlabeled samples to reduce mistakes in local client (internal). But, the former is hard to precisely fit the ideal global distribution via direct weights, and the latter results in fewer data participation into FL training. To this end, we propose a proxy-guided framework called ProxyFL that focuses on simultaneously mitigating external and internal heterogeneity via a unified proxy. I.e., we consider the learnable weights of classifier as proxy to simulate the category distribution both locally and globally. For external, we explicitly optimize global proxy against outliers instead of direct weights; for internal, we re-include the discarded samples into training by a positive-negative proxy pool to mitigate the impact of potentially-incorrect pseudo-labels. Insight experiments & theoretical analysis show our significant performance and convergence in FSSL.
toXiv_bot_toot

I've often wondered if a Canadian EV "Kei Car" type program would help the country achieve zero emission goals, provide affordable transportation, and reduce grid lock in our cities.
In 1949, Japan created a special category of keijidosha (light vehicles) created for affordability and maneuverability in dense cities. The Kei car quickly became popular despite strict limits on dimensions (length, width, height) and engine displacement (under 660cc). They were given unique license plates for enforcement purposes and had tax benefits for owners.
What if an "Ion" vehicle category was created in Canada:
- must be manufactured in Canada
- minimum 100Km range, suitable for any urban commute
- limited to 50Km/hr
- restricted to street use, not to be used on highways
- size restrictions, perhaps Smart Car sized for personal vehicles, larger for commercial vehicle category
How many city-dwelling Canadians would buy a cheap EV to run errands and give the finger to big oil?
#KeiCars
https://youtu.be/LtTirdKvyeI

The Television Academy sets Emmys rules to allow inquiries about AI use in submissions, and renames Outstanding Television Movie category to Outstanding Movie (Rick Porter/The Hollywood Reporter)
https://www.hollywoodreporter.com/tv/tv-news/emmys-ai-g…

Emmys Set AI Guidance, Drop “Television” From Best Movie Category Name
The TV Academy also made rule changes for short-form programs and a few other categories.

Watched a couple of episodes of #DeArktiskeReddere on DR (public broadcaster on Denmark) yesterday (series about #Greenland's search and rescue team - though they do a lot of emergency air ambulance type work too).
It's a really gripping and well filmed piece of work, sensitive on the difficult topics too and shows really well how different authorities work together.
I imagine it would be uncomfortable watching for USians who seem to imagine some kind of stone age society seeing healthcare emergencies dealt with so professionally with such excellent equipment (and for free at point of delivery).
I also find it hard to explain that the categories and separation between "Danes" and "Greenlanders" isn't always so clear cut and I think the programme got that over well.
It's filmed mostly in Danish but with Swedish, Norwegian and quite a bit of English, so may not travel easily but it's a really well done piece of TV and if you are at all interested in Greenland, it's worth seeking out.
De arktiske reddere https://www.dr.dk/drtv/serie/de-arktiske-reddere_450849

Open-Source Thermostatic Radiator Valve (OpenTRV) - OpenTRV retrofit open-source reference mechanical/hardware/software design for zoned heating to save carbon and money. #OpenTRV #TRV #heating

Open-Source Thermostatic Radiator Valve (OpenTRV)
OpenTRV retrofit open-source reference mechanical/hardware/software design for zoned heating to save carbon and money. #OpenTRV #TRV #heating #cutCarbon

The Avi Lewis AMA on Reddit this afternoon was interesting. He didn't answer my question, and I'll eventually get over it, but he was swinging for the fences with his ideas. His responses would resonate I think with MastoCanucks as they pretty much call for the government to get more involved in providing real solutions. Including building 1M public homes, tackling U.S. ownership of our media, getting rid of FPTP with electoral reform, guaranteed income programs, publicly owned options for major business categories (banks, grocery, phones, etc). Those big ideas could wake up and excite voters while at the same time facing huge opposition from big businesses and wealthy Canadians who would face a new wealth tax.
I hope he wins the leadership. At the very least he'll push the Liberals to be bolder, and maybe even lead a minority government that could bring some of his ideas to fruition.
#CanPoli #NDP
https://www.reddit.com/r/onguardforthee/s/fwKRmDPSvd