🌟 Exciting news! Just a week to go until #SciPy2024! 🎉 Stay tuned over the next few days as we reveal some of the amazing things our speakers will be presenting at the conference 👀
"But whilst it will have its benefits, the process of datafication also raises important methodological and ethical questions. Who has access to the data that is collected and why? How do the new data flows change everyday research practice? Are scientists being subjected to “dataveillance”, and if so, what does this mean for their privacy? To ensure that the scientific community embarks on a critically informed journey towards a datafied research ecosystem, these questions need to be addressed."
https://www.embopress.org/doi/full/10.1038/s44319-024-00153-2
“On AI and the commoditisation of design – Scott Riley”
https://www.scott.is/writing/about/ai-and-design
> That’s because I know the value good design can bring to a project, and it’s not the output. Design is about humans, about sense-making, systems thinking, and craft
« In this Comment, we emphasize the complexity of scientific software as a multifaceted socio-technical (and historically grown) system. We describe facets of software that we define as vantage points from which the different dimensions of software can be understood. The multifaceted nature of software implies that the work done by software has technical, legal, sociological and epistemic consequences. »
appreciated this essay about “technical” skills by Sasha Laundy (“If you've ever said "soft skills" and felt weird about it, this essay is for you”) https://sashalaundy.com/writing/technical-skills/
Any Shiny for Python experts out there? I'm starting to play around with it; I've deployed my app to a DigitalOcean droplet running Shiny Server and pointed /etc/shiny-server/shiny-server.conf to a venv I want to use.
That works like a charm, but I'm wondering if I would be able to use multiple environments in case I wanted different apps to use different package/Python versions. Not a deal-breaker (and honestly I don't have a use case right now, but still...)
You can now watch the talk on "The Perfect Python Project" that I gave on Saturday at North Bay Python on YouTube. Please share and enjoy. https://www.youtube.com/watch?v=kcfERM6fcgU
Has anyone got references (or ideas/recommendations) for how to perform #data #augmentation on #scrnaseq data (to use in training #ann)?
This is the only paper I could find, but maybe I am not searching for the right thing...
All over the world, voters should know, that whenever politicians talk about immigrants, it is because they have no solutions to the problems that matter most.
Healthcare crisis in the UK? Talk about immigrants.
Children getting shot because of idiotic gun laws in the US? Talk about immigrants.
"Look over there! Someone is coming too eat you cake!", is the oldest trick in the book, and politicians use it for the sole purpose of moving attention away from their own political incompetence.
A Computational Approach to Interpreting the Embedding Space of Dimension Reduction https://www.biorxiv.org/content/10.1101/2024.06.23.600292v1?med=mas
I've recently picked up this great #book by Cathy O'Neil, "Weapons of Math Destruction"
https://books.google.co.uk/books?id=60n0DAAAQBAJ&newbks=0&printsec=frontcover&pg=PP1
An "old" book (2016) but still extremely if not more relevant than ever.
Andrej Karpathy announced his upcoming LLM course - LLM101n, a few days ago. The course is not available yet, but the course syllabus is available on the course repo:
https://github.com/karpathy/LLM101n
There is no timeline for the release of this new course.
I've been reading again this little gem of a paper
I'm wondering how many results from #scrnaseq experiments are flawed for the reasons highlighted in there.
Ok kids, here we go:
#Bandwagon, the open #Fediverse alternative to #Bandcamp is ready for its first steps into the light.
I have a waitlist online at
https://bandwagon.fm if you'd like to try it out.
I'm planning to build the first (dozen? I don't know) profiles in the waitlist personally, with an email questionnaire and FaceTime follow-ups if necessary.
Once I'm confident in the UX, we'll open up self-serve signups for everyone.
@RonBeavis @lgatto @petersuber Fine tuning is not so resource intensive as training, so journals could generate their own specific models without needing involvement of external companies. Not saying that would be a good idea, just that it's technically very feasible (also, there are plenty of open source models around)
Senior lecturer at the Zhejiang-Edinburgh Joint Institute (ZJE) and Edinburgh University.
Undergraduate Programme Director, Biomedical Informatics at ZJE.
I teach #imageanalysis & #dataanalysis with #RStats & #python. I study #heterogeneity in #pituitary (and other) cells.
I'm also very interested in #reproducibility and #openscience.