This is a Strategic Framework for turning project outlines into value. Without naming your own company, describe a real-world scenario where you've seen a project fail by ignoring one of these stages
#datascience, #dataanalytics, #bigdata, #machinelearning, #BusinessStrategy, #DataStrategy, #ProjectManagement, #Analytics
It’s only AI if it’s cool!
I guess I am not the only one who is quite annoyed that nowadays everything is AI. Literally everything that’s beyond an if/else is advertised as AI. Machine Learning doesn’t seem to exist anymore.
Unless … Unless it’s not cool!
[…]
Litestar is a Python web framework that’s built with async support and type hints in mind. You might think, “But we already have FastAPI.” That’s true, but @ubernostrum shared some good reasons why this framework is worth exploring.
Favorability Mapping For Hydrothermal Power Resource Assessments Of The Great Basin, USA
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https://doi.org/10.1016/j.geothermics.2025.103450 <-- shared paper
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#geothermal #resourceassessment #hydrothermal #favorability #GreatBasin #datadriven #Machinelearning #ML #AI #USA #power #energy #powerplant #renewableenergy #survey #spatialanalysis #GIS #spatial #mapping #montecarlo #model #modeling #crossvalidation #predication #WesternUSA #algorithm #training #geology #vulcanism #favorability #research #prospecting #resources
#USGS
#KI - Überblick 2: Wie Maschinen lernen – Methoden des #MachineLearning
#MaschinellesLernen ist das Herz moderner KI. Dieser Beitrag erklärt, wie Maschinen aus Daten lernen – und warum es ganz verschiedene Arten des Lernens gibt. https://www.heise.de/blog/KI-Ueberblick-2-Wie-Maschinen-lernen-Methoden-des-Machine-Learning-10505603.html
#CoRDI2025 - In der 11-Uhr-Session sind unsere Expert:innen wieder an mehreren Talks beteiligt:
Don’t panic! A Survival Guide for Law and Ethics in Research #Ethics #Law u.a. mit Sophie Boße
Bioschemas and Schemas.science at #NFDI #Schemas u.a. mit Leyla Jael Castro
FAIR4ML #FAIR4ML #MachineLearning u.a. mit Dhwani Solanki, Nelson Quiñones, Rohitha Ravinder, Suhasini Venkatesh, Dietrich Rebholz-Schuhmann und Leyla Jael Castro
Jenseits des Hypes: Wie Künstliche Intelligenz wirklich funktioniert
Wer versteht, wie KI Entscheidungen trifft, kann Ergebnisse besser einschätzen. Dieser Beitrag erklärt auf einfache Weise die Prinzipien der modernen KI.
Interpreting Machine Learning Models With SHAP: A Guide With Python Examples And Theory On Shapley Values https://leanpub.com/shap by Christoph Molnar is the featured book on the Leanpub homepage! https://leanpub.com #DataScience #Python #MachineLearning
Master machine learning interpretability with this comprehensive guide to SHAP – your tool to communicating model insights and building trust in all your machine learning applications.
Find it on Leanpub!
Techno-Absurdism recognizes that we've created systems—algorithms, #AI automated processes—that operate beyond human comprehension while still serving human-defined goals. The #absurdity isn't just #existential it's #architectural.
We are the architects of our own incomprehension, building towers of Babel in code that speak languages we invented but can no longer understand.
We #optimize for #efficiency and discover we've automated away our own #agency. The machines don't #rebel—they simply execute our instructions more perfectly than we intended.
If you’re writing test cases, I strongly suggest using pytest’s parametrize feature. It helps you save both time and code. In this article, @nedbat explained how to use it with a clear example.
https://nedbatchelder.com/blog/202508/starting_with_pytests_parametrize.html
Meta halts AI hiring amid bubble concerns 
Zuckerberg freezes recruitment at Superintelligence Labs; exceptions need approval from AI chief Alexandr Wang 
Move follows soaring costs, falling tech stocks & reports of poor AI ROI 
Shift to smaller, “talent-dense” teams reflects strategic reset 
Sentiment: Growing caution in AI space mirrors dotcom-era skepticism.
https://www.telegraph.co.uk/business/2025/08/21/zuckerberg-freezes-ai-hiring-amid-bubble-fears/
Gratuliere an @JohannesRuedisser und das Team von @LandscapeEco_UIBK zum neuen Nature-Paper! Sie haben ein KI-Modell entwickelt, das Schmetterlingsarten erkennen kann. Dazu nutzten sie zahlreiche Schmetterlingsfotos von Freiwilligen, mit denen die KI trainiert wurde.
Bericht:
https://tirol.orf.at/stories/3318845/
Paper in Nature: 
https://www.nature.com/articles/s41597-025-05708-z
AI-Weekly for Tuesday, August 26, 2025 - Issue 179
https://ai-weekly.ai/newsletter-08-26-2025/
The Week's News in Artificial Intelligence
A Mind Vault Solutions, Ltd. Publication
#ai #news #ainews #artificialintelligence #aiweekly #technology #tech #technews #techtrends #machinelearning #robotics #datascience #airesearch #futuretech
Subscribers: 45,910 
️ subscribers were sent this issue via email.
AI-Weekly for Tuesday, August 26, 2025 - Issue 179
https://ai-weekly.ai/newsletter-08-26-2025/
The Week's News in Artificial Intelligence
A Mind Vault Solutions, Ltd. Publication
#ai #news #ainews #artificialintelligence #aiweekly #technology #tech #technews #techtrends #machinelearning #robotics #datascience #airesearch #futuretech
Subscribers: 45,910 ️ subscribers were sent this issue via email.
AI-Weekly for Tuesday, August 26, 2025 - Issue 179
https://ai-weekly.ai/newsletter-08-26-2025/
The Week's News in Artificial Intelligence
A Mind Vault Solutions, Ltd. Publication
#ai #news #ainews #artificialintelligence #aiweekly #technology #tech #technews #techtrends #machinelearning #robotics #datascience #airesearch #futuretech
Subscribers: 45,910 ️ subscribers were sent this issue via email.
AI-Weekly for Tuesday, August 26, 2025 - Issue 179
https://ai-weekly.ai/newsletter-08-26-2025/
The Week's News in Artificial Intelligence
A Mind Vault Solutions, Ltd. Publication
#ai #news #ainews #artificialintelligence #aiweekly #technology #tech #technews #techtrends #machinelearning #robotics #datascience #airesearch #futuretech
Subscribers: 45,910 ️ subscribers were sent this issue via email.
Our fist keynote for #ICYMARE2025 is Prof. Dr. Martin Mundt talking about #AI and #machinelearning 
https://owl-ml.com/
#sustainability #AIinscience #machinelearning #adaptiveAI #earlycareerconference #oceanscience #environmentalscience #keynote #AItools #ECOP #ecrs #earlycareerresearchers #marinescience
https://www.europesays.com/2359920/ AI Is Eliminating Jobs for Younger Workers #AI #AiLab #ArtificialIntelligence #Chatbots #MachineLearning #research #SiliconValley #work
3 ML engineering gems:
- CuTe hierarchical layout for GPU tensor optimization
- Kernel methods as interpretable linear combinations
- Chunked Data Shapley for scalable data valuation
Maschinelles Lernen ist der mit Abstand bedeutendste Teilbereich der modernen Künstlichen Intelligenz. Praktisch alle heute erfolgreichen KI-Anwendungen basieren darauf: Texte zu generieren, Bilder zu analysieren, Sprache zu verstehen, Vorhersagen zu treffen – all das gelingt, weil Maschinen aus Daten lernen.
Doch wie funktioniert dieses Lernen eigentlich?
https://www.heise.de/blog/KI-Ueberblick-2-Wie-Maschinen-lernen-Methoden-des-Machine-Learning-10505603.html?wt_mc=nl.red.ho.ho-nl-newsticker.2025-08-26.link.link
#KI #MachineLearning
Greg Cocks 
, Datenschutz