Messages de Rogue Scholar

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Open AccessBiocurationConferencesCurationFAIRBiologieAnglais
Publié in GigaBlog

Mary Ann Tuli and Bastien Molcrette provide a write up of IDCC25 at The Hague. This deliberately provocative phrase, uttered by a conference participant, sums up the challenge of preserving scientific data: to make useful information available to those, present and future, who are best placed to use it to its full potential.

PapersBiologieAnglais
Publié in Paired Ends
Auteur Stephen Turner

This week’s recap highlights ESCARGOT, an AI agent for biomedical knowledge graphs and reasoning, CASTER for direct species tree inference from whole-genome alignments, the scGPT-spatial foundation model for spatial transcriptomics, the BioChatter platform for biomedical research applications with LLMs, moscot for mapping cells through time and space, and two reviews: one on epigenetic clocks and another on structural variation in the human

Lab ReportDh LabEarly Modern PeriodFellowshipGeohumanitiesHistoire et archéologieAnglais
Publié in DH Lab
Auteur Sven Dittmar

Our spatial perception of the world in which we live is undoubtedly shaped significantly by maps. Political maps, which are frequently used, convey the size and political unity of territories through colored polygons and borders. They are deeply ingrained in our collective memory. Only rarely are we unsettled in this established knowledge by alternative representation methods that encourage new perspectives on the world.

If AI Was The Answer, What Was The Question, Again?Sciences de l'artAnglais
Publié in carrier-bag.net
Auteur Orit Halpern

“Noise in the sense of a large number of small events is often a causal factor much more powerful than a small number of large events can be. Noise makes trading in financial markets possible, and thus allows us to observe prices for financial assets… We are forced to act…

Informatique et sciences de l'informationAnglais
Publié in Louche Cannon

Cite as: Geoffrey Bilder (2025, March 28). Tomorrow's ScholComm Headlines: Predictions from 2023 . Retrieved from https://doi.org/10.59347/shh81-rbh77 function copyCitation() { const citationText = document.getElementById('citation-text').innerText.replace(/\s+/g, ' ').trim(); navigator.clipboard.writeText(citationText).then(() => {

Informatique et sciences de l'informationAnglais
Publié in Anil Madhavapeddy's feed
Auteur Anil Madhavapeddy

Josh Millar just released our latest preprint on how to make sense of the growing number of dedicated, ultra-low-power 'neural network accelerators' that are found in many modern embedded chipsets. My interest in this derives from wanting to decouple from the cloud when it comes to low-latency local environments, and this needs fast tensor operations in hardware.