#Computational

N-gated Hacker Newsngate
2026-03-09

Ah yes, the riveting tale of Python's GIL: the most misunderstood three-letter acronym since 'LOL' 😂. The authors propose unlocking as though they're disarming a bomb - spoiler alert: it's , not nuclear 💥. Thank goodness we have 2603.04782 pages of to light our path through the dark forest of 🌳🔦.
arxiv.org/abs/2603.04782

François Ferron 🇪🇺 🔷️🔶️F2erron@fediscience.org
2026-03-04

The Coordinated Action “Diagnostic, Therapeutic and Vaccine Viral Targets” of #ANRS MIE is organising a #webinar on #AI for molecular discovery. This webinar will explore how AI and #computational #modelling are advancing #drugdesign and protein research.
Speakers will present approaches for molecular design, prediction of protein variant effects and dynamics, and structural modelling of protein–protein interactions. The session will also take a critical perspective, addressing current limitations in #cheminformatics and practical considerations for researchers.

🚨 MARK YOUR CALENDAR 🚨
⚠️ AI for molecular discovery: From drug design to protein dynamics⚠️
April 15th 2026
12:30 - 14:00
Wednesday April 15th 2026, from 12:30 to 14:00 — online (Zoom)

Programme :

1️⃣ "AI for drug design" — Dragos Horvath, Strasbourg University
2️⃣ "Computational approaches for protein variant effect and motion prediction" — Elodie Laine, Sorbonne University
3️⃣ "Structural modelling and binding affinity prediction of the Human PDZ-PBM interactome" — Victor Reys, Utrecht University

➡️ Registration : services.hosting.augure.com/Re

Dutch Reproducibility NetworkDutch_Reproducibility_Network
2026-02-24

From 20-22 July, the 4th on Reproducibility and Replicability will take place in .
The conference welcomes contributions on methods, tools, case studies, and community efforts around and in research.

Deadlines: 10 March (abstracts)/17 March (papers)

acm-rep.github.io/2026/cfp/

Foto by ThisIsEngineering on unsplash

Scientific Frontlinesflorg
2026-02-16

A modeling tool that incorporates debris collision probability directly into the earliest design phases of Earth-observation missions.

sflorg.com/2026/02/eng02162601

MidgePhotoPhoto55
2026-02-11

@cathill
1. "The best camera is the one you have in your hand".
2. For some subjects a small is better than one as large as a DSLR and although there are nice little digital sensors (my G11 still gets use) and they may have better lenses, a good pocket terminal may be not inferior.
3. The connected devices and network are good at photography, where calculation makes up, or perhaps more than makes up, for optical deficiencies

My 6D is a reduction from the 10x8" ;)

Scientific Frontlinesflorg
2026-01-28

A new framework establishes a benchmark for determining the three-dimensional positions and elemental identities of individual within amorphous, disordered materials like glass.

sflorg.com/2026/01/nt01282601.

graeme fawcettgraeme@tech.lgbt
2025-11-25

This guy here... this is a guy. I love this guy 🩷🧸🍷

How do you keep your little gooses on path? 🪿🦮

We're calling it Looking Glass Development. It's what happens when TDD and BDD have a wee bit too much wine when they're over for a visit with your teddy and what comes out has a wee bit more computational markdown in it than anyone wants to admit.

🧸🤷🏻‍♀️

You guys are already doing that thing where you use your user guide as the spec right?

Just add your unit tests at the bottom.

Living markdown.

🔴 ➡️ 🟢 ➡️ 🔄
♥️ 🏹 💚 🏹 🫶🏻

If the guide is accurate enough to direct accurate usage and the tests are passing then the garden has been well tended. 🌱

#ai #platform #living-documentation #computational-markdown

Everyone else had a C64 too right? 💾🦖It's lovely and green and red for Christmas 🎄All you have to do is really clearly state what you want.

And first know
Fabrizio Musacchiopixeltracker@sigmoid.social
2025-11-04

@axoaxonic @adredish Fully agree 👍 Horner's framework really begs for a formal dynamical model: defining trajectories, #attractors, and #manifolds within that 3D space. Something that could turn his conceptual #StateSpace into a genuine #computational theory of #memory dynamics.

I didn’t know Redish's book ("Beyond the Cognitive Map") before your comment! Sounds highly relevant and I’ll definitely put it on my reading list 👌

Nick Byrd, Ph.D.ByrdNick@nerdculture.de
2025-09-26

Proud of Vahid's use of #computational #CogSci to identify and compare #reasoning errors in #Reddit users and communities.

He's presenting it at an #AI + #decisionSci workshop at #CMU : cmu.edu/ai-sdm/research/human-

Follow him for alerts about this and more: researchgate.net/profile/Vahid

Beyond Fact-Checking: Empowering Flexible Human-AI Teams to Detect & Counter Online Misinformation

Vahid Ashrafi (in the photograph), Nick Byrd, and Jordan W. Suchow

Misinformation is persistent: From pandemic conspiracies to election denial, false claims spread faster and farther than facts, threatening
health and democracy.

Current defenses fall short: Fact-checking and moderation focus on sentiment but overlook the cognitive vulnerabilities that make cognitive errors drive spread. Biases like confirmation bias, emotional reasoning, and exaggerated thinking distort judgment and amplify viral narratives.

We detect and quantify 419 cognitive errors in Reddit users' text, building "cognitive fingerprints" that reveal reasoning flaws behind misinformation.

Impact: These insights enable flexible human-AI teams to anticipate, detect, and counteract misinformation.Beyond Fact-Checking: Empowering Flexible Human-AI Teams to Detect and Counter Online Misinformation

Vahid Ashrafi, Nick Byrd, and Jordan Suchow 

Abstract. [Vahid construced] a comprehensive knowledge base of 419 cognitive errors—including cognitive biases and logical fallacies—grounded in empirical findings from psychology and cognitive science. We then trained GPT-4.1, a state-of-the-art language model, to identify potential examples of these cognitive errors in users' posts. ... The robustness of AI-generated insights was rigorously validated by human annotators, achieving high reliability (Spearman’s ρ = 0.86). ... we propose actionable solutions such as targeted cognitive interventions to educate users about common reasoning errors, AI-driven moderation systems that identify problematic reasoning patterns rather than merely flagging false information, and personalized cognitive profiling tools to proactively identify at-risk individuals and communities.The NSF AI Institute for Societal Decision Making (NSF AI-SDM) sponsors the participation of selected speakers and students in an annual workshop of Human-AI Complementarity for Decision Making. Human-AI Complementarity, defined as the condition in which Humans + AI working together results in better decisions than humans or AI working alone, is a broad goal pursued in several projects of the NSF AI-SDM.

In 2025, we will focus on how to create flexible Human-AI teams to achieve complementarity. This theme refers to the interdisciplinary study of how to design and deploy AI systems in ways that are dynamically aligned with human values, robust to unexpected behavior, and safe even under failure modes. It encompasses short-term concerns about deployed systems (e.g., fairness, robustness, interpretability, and misuse) and long-term concerns about advanced general AI (AGI) that could have large-scale societal impacts if not aligned with human interests.
Md Ishtiak Rashidishtiakrashid
2025-09-18

Excited to share our latest work published in Nature Scientific Reports:

"Machine learning based characterization of high risk carriers of HTLV-1-associated myelopathy (HAM)"

This work represents a significant step forward in precision medicine for neglected viral infections — I am grateful to work with an incredible team of clinicians and Bioinformaticians.

biology

Further reading: 🔗 nature.com/articles/s41598-025

katch wreckkatchwreck
2025-09-07

rant: i know there are a lot of alternative (typically anti-) definitions of "AI" flying around, but i just thought of another one: Actual Insanity! anyone who has done serious work with finite precision , , , , or analysis, knows that minimizing the number of parameters is essential for building truly explanatory models. but establishment scientists have collectively signed onto the idea that large models are intelligent

2025-09-04

Via #LLRX #AI #slop and the #destruction of #knowledge – Prof. Iris van Rooij, #Computational #CognitiveScience at the School of #ArtificialIntelligence, shares thread of her email communications w #Elsevier Helpdesk detail with concerns about #AI generated definitions and links within scholarly articles, and the fact that authors cannot say ‘no’ to their work being used for #AItraining and #AIgenerated # texts. llrx.com/2025/08/ai-slop-and-t #education #learning #academia #teaching #knowledge

2025-08-27

Oxbow makes genomic data ready for high-performance analytics.
File formats are a major source of friction and headache in #computational #biology. Oxbow makes it easier to retrieve and manipulate data stored in conventional genomic formats using modern data tooling.
#bioinformatics
oxbow.readthedocs.io/en/latest/

❀𝓪𝓵𝓬𝓮𝓪𖤐 :yusaao: alcea@alceawis.com
2025-08-09
If you think about it.
#Humans were never made with #computational task in mind.

Too much monkey brain and #evolutionary #baggage

And yet we think we are...

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