Thrilled to share our newly published work in JCI Insight! insight.jci.org/articles/vie...
@elmarbucher
πΊπ¦ P(X,H,O) P: joint probability. X: external observation. H: internal hidden state. O: output. o = f(x,h) + https://orcid.org/0000-0002-2929-2460 + https://github.com/elmbeech + https://elmbeech.github.io π¦π¦ we are IU ~ never daunted!
Thrilled to share our newly published work in JCI Insight! insight.jci.org/articles/vie...
Lindsey Vonn, never daunted! (Last seen at the carnival in Lucerne, Switzerland.)
Obituary: Gladys Mae West (1930-2026) mathematician who pioneered GPS technology
go.nature.com/4jWMeM8
Just finished reading @blaiseaguera.bsky.social 's book βWhat Is Intelligence?β
It took me a while. However, it is an amazing read! All 3 pats deserve to be read, although the first 2 parts I enjoyed most.
Above all, this book totally changed my view on AI (especially AGI)! Big fan.
Luddy school of informatics computing and engineering at Indiana University. https://luddy.indiana.edu/
Join us!
Never daunted. We are IU.
Cancer treatments have often followed hot on the heels of innovations in fundamental research.
The latest edition of #CERNCourier explores particle therapy β an application of accelerators that looks set to surge in importance in the coming decades.
A new special issue of Philosophical Transactions B takes on one of scienceβs biggest questions: how life begins.
Rather than retracing Earthβs history, the authors look for the universal conditions that could make life possible anywhere, approaching the question from many fields and angles.
a while ago i was programming very little in Julia, which looks like a fun language too. but in my field, it never has this sound ecosystem of libraries that Python3 offers.
i'm sorry to hear that you feel that way about python. the last 3 years (time flies) i was coding a lot in C and C++.
for us, the ones who learn programming back in the eighties, Python was (and i think still is) that modern language you talked about.
i feel the same way! it's a full fledged language.
Lana, what is your favourite programming language? I am not judging. I am just interested to hear. what is the language you get your daily work done?
i have to think more about the separating logic from the logistic argument. this is a good discussion we have here.
look, in the end, it is a language. it is the feeling when you write in this language. And this can fall on both sides. i love to code in Python3.
i read your post. i think it is interesting what you say! for me R is just Pandas. and as you said, the examples were very similar. for e.g. single cell analysis, i prefer e.g. scanpy and squidpy over seurat. manipulating plots, is maybe not that easy, as you highlighted.
I learned my computer skills back in the days with Basic (C=64) and Pascal. And Python is so much closer to these languages than R.
I like to read your post, but i will not go back to R :" ).
i worked in bioinformatics (and now mathematical biology) for more than 21 years. i worked with Perl, R / bioconductor, and Python3, and i can't help, from all these languages i like Python3 the most.
@sinalana.bsky.social i just stumbled over one of your papers. will definitely have to read this :").
unfortunately pay wall :"(.
however, here is the link: pubs.acs.org/doi/10.1021/...
i am not yet finished reading... however, what i read so far, this book is amazing! i highly recommend reading it. i think Blaise AgΓΌera y Arcas is here onto something. a deeper, profound understanding of what really goes on. life is computation. excellent!
@msahsorin.bsky.social this is so cool work!
amazing episode @radiolab.bsky.social !
amazing research!
radiolab.org/podcast/the-...
Normalization of spatial proteomics data is a major barrier to translating these datasets into clinical practice. We present a universal normalization framework that harmonizes data across platforms, cancer types, and labs: www.cell.com/cell-reports...
tripping down the memory lane :").
definitely a podcast to listen to!
www.bbc.com/audio/series...
Ilya Prigogine's legacy :").
bsky.app/profile/norm... and extropic ai seem to be the ones who work on this technology. definitely a technology to keep an eye on!
Thermodynamic Linear Algebra is published!
And I, for one, am delighted to see work from Normal Computing published in Unconventional Computing π
this is interesting! yesterday i stumbled over this. a thermodynamics computing accelerator. maybe in short term more feasible than a quantum computer accelerator? one will definitely not replace the other.
+ www.nature.com/articles/s41...
Check out this link after 11 am (US Eastern) tomorrow.
doi.org/10.1016/j.ce...
More soon! :-) @physicell.bsky.social
this link is broken :"(.
is it not like this with every accelerator (like e.g. GPUs), they solve a problem faster than the general purpose CPU (e.g. linear algebra) but they do not replace the CPU. and quantum computers are accelerators.
In any case, nice video link!