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#systems

5 posts5 participants1 post today

Zoomposium with Dimitri Coelho Mollo (Assistant Professor in #Philosophy of #Artificial #Intelligence):

"How Intelligent is Artificial Intelligence?"

His #research focuses on #fundamental and #epistemological #questions within artificial intelligence and #cognitive #science, and seeks ways to improve our understanding of #mind, #cognition, and intelligence in #biological and #artificial #systems

More on: philosophies.de/index.php/2023

or: youtu.be/9xrsxXrXjQw

The Myth of Human Supremacy

"So where do we begin? We begin by questioning the unquestioned beliefs that are the real authorities of this culture, and then we move out from there. And once you’ve begun that questioning, my job is done, because once those questions start they never stop. From that point on, what you do is up to you."

dgrnewsservice.org/civilizatio

🌍 🌳 🐾

arXiv logo
arXiv.orgFrom FAIR to CURE: Guidelines for Computational Models of Biological SystemsGuidelines for managing scientific data have been established under the FAIR principles requiring that data be Findable, Accessible, Interoperable, and Reusable. In many scientific disciplines, especially computational biology, both data and models are key to progress. For this reason, and recognizing that such models are a very special type of 'data', we argue that computational models, especially mechanistic models prevalent in medicine, physiology and systems biology, deserve a complementary set of guidelines. We propose the CURE principles, emphasizing that models should be Credible, Understandable, Reproducible, and Extensible. We delve into each principle, discussing verification, validation, and uncertainty quantification for model credibility; the clarity of model descriptions and annotations for understandability; adherence to standards and open science practices for reproducibility; and the use of open standards and modular code for extensibility and reuse. We outline recommended and baseline requirements for each aspect of CURE, aiming to enhance the impact and trustworthiness of computational models, particularly in biomedical applications where credibility is paramount. Our perspective underscores the need for a more disciplined approach to modeling, aligning with emerging trends such as Digital Twins and emphasizing the importance of data and modeling standards for interoperability and reuse. Finally, we emphasize that given the non-trivial effort required to implement the guidelines, the community moves to automate as many of the guidelines as possible.
arXiv logo
arXiv.orgFrom FAIR to CURE: Guidelines for Computational Models of Biological SystemsGuidelines for managing scientific data have been established under the FAIR principles requiring that data be Findable, Accessible, Interoperable, and Reusable. In many scientific disciplines, especially computational biology, both data and models are key to progress. For this reason, and recognizing that such models are a very special type of 'data', we argue that computational models, especially mechanistic models prevalent in medicine, physiology and systems biology, deserve a complementary set of guidelines. We propose the CURE principles, emphasizing that models should be Credible, Understandable, Reproducible, and Extensible. We delve into each principle, discussing verification, validation, and uncertainty quantification for model credibility; the clarity of model descriptions and annotations for understandability; adherence to standards and open science practices for reproducibility; and the use of open standards and modular code for extensibility and reuse. We outline recommended and baseline requirements for each aspect of CURE, aiming to enhance the impact and trustworthiness of computational models, particularly in biomedical applications where credibility is paramount. Our perspective underscores the need for a more disciplined approach to modeling, aligning with emerging trends such as Digital Twins and emphasizing the importance of data and modeling standards for interoperability and reuse. Finally, we emphasize that given the non-trivial effort required to implement the guidelines, the community moves to automate as many of the guidelines as possible.

"Ultimately it’s a film that poses a question fundamental to #democracy: if we can’t understand a system that governs us, how much power do we actually have?"
countedoutfilm.com/#about

List of screenings throughout USA: countedoutfilm.com/screenings

On #PiDay, March 14, #Monterey Public Library is hosting a free screening, for teens and adults, of #CountedOut, 4-6PM. Registration required. eventbrite.com/e/monterey-publ BTW, we won’t be surprised if @Schlining ("Turning the beauty, complexity, and wonder of the deep-sea into long strings of ones and zeros”) is among those present.
Other #MontereyCounty screenings include March 13 at #CSUMB.

From trailer: “How is it that we can use math to understand the world, and also change the world?” …“Did you know that if you insert a single statistic into an assertion, people are 92% more likely to accept it without question?”

Counted Out, from filmmaker Vicki Abeles of #RaceToNowhere.

Counted OutCounted OutCounted Out is a math documentary that investigates the biggest crises of our time—political polarization, racial and economic inequity, a global pandemic, and climate change—through an unexpected lens: math.

#lispyGopherClimate #lisp #softwareEngineering #podcast
#climate #haiku from @kentpitman

archives.anonradio.net/2025022 0UTC Wed!
Break from guests this week just

Richard P Gabriel's essay Incommensurability (2012) vs @robpike 's #Systems #software #Research is Irrelevant (2000).

#live
Viz our interviews in the last two months with @nosrednayduj , Kent Pitman, @masinter , @sacha and @ramin_hal9001
Hang out in #lambdaMOO #live as always!
telnet lambda.moo.mud.org 8888
co guest
@join screwtape

We all know #complex #systems are most often structured as #networks. But the #complexity of the real world often goes beyond pairwise interactions. So, how does one model these? Why, with #hypergraphs, of course! And how does one learn about them? By attending our School and Conference on Higher-Order Networks! An international line-up of lecturers and speakers will discuss the #mathematics of hypergraphs, the #physics of the processes they support and discuss #algorithms that can be used to study their #structure and #dynamics.

So, are you curious to learn about the mechanisms that a certain #fascist owner of a social network uses to push people to vote for far-right candidates? And do you want to know the most efficient way #democratic governments have to bring down his evil network of satellites if he keeps breaking the law? Join us!

The event will take place from 25 June to 2 July at the International Institute of Physics of the Federal University of Rio Grande do Norte, in Natal, #Brazil

Please boost widely and send to anyone who you think may be interested, especially students and postdocs!

iip.ufrn.br/eventsdetail.php?i

www.iip.ufrn.brInternational Institute of PhysicsInternational Institute of Physics
Replied in thread

@kissane

Terrible but yes I'm glad I read this thoughtful & considered piece. This part really caught my attention, something long thought but never expressed so well as by Ethan Marcotte:

"In government... infrastructure is built by laws, policies, and regulations. But regulations alone do not infrastructure make. Regulations require workers to become infrastructure: those workers who labor to understand new policies, how best to enact them, and then work to make them legible and understandable to the American public — and, yes, to enforce them. Without those federal workers, and their labor, these systems fall apart. And the architects of this assault on the federal workforce are keenly aware of that fact."

Beyond dismal, it's a complete dismantling of a society & so terrible to see. 😐

#Infrastructure
#systems
#infrastructureAsAService
#regulations
#regulation
#enforcingRegulations
#EthanMarcotte
#government
#govermentRegulation

In January, I've presented a lightning talk reviewing a few amazing events in the domain of microkernel-based operating systems in 2024. It was a great year and let's hope that 2025 will be even better. Did I miss anything important? #microkernel #operating #systems slideshare.net/slideshow/2024-

Continued thread

Adjacent to that, some notes on local book clubs as I find them. First, #SomervillePublicLibrary has an ongoing Nonfiction #bookclub, meeting March 12 at 7 eastern over zoom to discuss #DebChachra's excellent How #Infrastructure Works: Inside the #Systems That Shape Our World

somervillepubliclibrary.assabe #SomervilleMA