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Sha-chanQuand la traduction automatique rencontre la documentation technique… (nan vraiment, par pitié, arrêtez d'essayer 😭)"Vous pouvez les trouver sur la décision de tensorflow Forêt Github ou la décision Yggdrasil documentation forestière ."<a href="https://social.sciences.re/tags/documentation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#documentation</a> <a href="https://social.sciences.re/tags/python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#python</a> <a href="https://social.sciences.re/tags/tensorflow" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#tensorflow</a>

sc0v0neMCP, Agentic Knowledge Graphs & AI Models: Solving Conversational Analytics<a href="https://www.eventbrite.com/e/mcp-agentic-knowledge-graphs-ai-models-solving-conversational-analytics-tickets-1304648411519?aff=ebemoffollowpublishemail&ref=eemail&utm_campaign=following_published_event&utm_content=follow_notification&utm_medium=email&utm_source=eventbrite" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.eventbrite.com/e/mcp-agentic-knowledge-graphs-ai-models-solving-conversational-analytics-tickets-1304648411519?aff=ebemoffollowpublishemail&ref=eemail&utm_campaign=following_published_event&utm_content=follow_notification&utm_medium=email&utm_source=eventbrite</a>In this free webinar led by ex-Snowflake, Cloudera, and Amazon leaders, we'll unveil how cutting-edge LLMs (GPT 4.5, Sonnet 3.7, Deepseek V3/R1, Gemini 2.5, etc.) are revolutionizing data products. <a href="https://mastodon.social/tags/python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#python</a> <a href="https://mastodon.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#machinelearning</a> <a href="https://mastodon.social/tags/deeplearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#deeplearning</a> <a href="https://mastodon.social/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ai</a> <a href="https://mastodon.social/tags/developer" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#developer</a> <a href="https://mastodon.social/tags/dev" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#dev</a> <a href="https://mastodon.social/tags/devsecops" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#devsecops</a> <a href="https://mastodon.social/tags/devops" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#devops</a> <a href="https://mastodon.social/tags/mlops" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#mlops</a> <a href="https://mastodon.social/tags/learn" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#learn</a> <a href="https://mastodon.social/tags/learning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#learning</a> <a href="https://mastodon.social/tags/study" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#study</a> <a href="https://mastodon.social/tags/git" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#git</a> <a href="https://mastodon.social/tags/github" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#github</a> <a href="https://mastodon.social/tags/codeberg" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#codeberg</a> <a href="https://mastodon.social/tags/tensorflow" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#tensorflow</a> <a href="https://mastodon.social/tags/pytorch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#pytorch</a> <a href="https://mastodon.social/tags/jax" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#jax</a> <a href="https://mastodon.social/tags/huggingface" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#huggingface</a> <a href="https://mastodon.social/tags/linux" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#linux</a> <a href="https://mastodon.social/tags/ubuntu" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ubuntu</a> <a href="https://mastodon.social/tags/popos" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#popos</a> <a href="https://mastodon.social/tags/llm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#llm</a>

🇺🇦𖤐AlderForrest 𖤐 🇺🇦Heitetääs nopia pallo tänne: onko olemassa <a href="https://1m2lab.anvil.top/tags/EU" rel="nofollow noopener noreferrer" target="_blank">#EU</a> vastinetta AI-tunnistusmalleille objektien tunnistamiseen mallia <a href="https://1m2lab.anvil.top/tags/YOLO" rel="nofollow noopener noreferrer" target="_blank">#YOLO</a> tai <a href="https://1m2lab.anvil.top/tags/tensorflow" rel="nofollow noopener noreferrer" target="_blank">#tensorflow</a>?

hubertfA message you do not want to see when loading "just data" in your AI / ML framework. Beware!Description in comments.<a href="https://mastodon.social/tags/ctf" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ctf</a> <a href="https://mastodon.social/tags/HackTheBox" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#HackTheBox</a> <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AI</a> <a href="https://mastodon.social/tags/ML" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ML</a> <a href="https://mastodon.social/tags/CyberSecurity" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CyberSecurity</a> <a href="https://mastodon.social/tags/TensorFlow" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#TensorFlow</a> <a href="https://mastodon.social/tags/DataPoisoning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataPoisoning</a>

Mauve 👁💜Here's my presentation where I explored <a href="https://mastodon.mauve.moe/tags/tensorflow" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#tensorflow</a> to make a neural network spatial curve based on an autoencoder.<a href="https://www.youtube.com/watch?v=S_8_trOCVjI" rel="nofollow noopener noreferrer" target="_blank">https://www.youtube.com/watch?v=S_8_trOCVjI</a>You can follow along with my code diffs. <a href="https://github.com/RangerMauve/neural-spatial-curves/commits/default/" rel="nofollow noopener noreferrer" target="_blank">https://github.com/RangerMauve/neural-spatial-curves/commits/default/</a>

João EsperancinhaThe following video just crossed the 100 views mark on JESPROTECH! It wasn‘t slowly. Just this morning it had 98 views! 107 views now! More on flattening in Deep Learning here: Why are we flattening the input in our DL? <a href="https://masto.ai/tags/dl" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#dl</a> <a href="https://masto.ai/tags/kotlin" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#kotlin</a> <a href="https://masto.ai/tags/tensorflow" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#tensorflow</a> <a href="https://masto.ai/tags/kotlindl" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#kotlindl</a> <a href="https://masto.ai/tags/deep" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#deep</a><a href="https://www.youtube.com/watch?v=_l4hTnEPcyk" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.youtube.com/watch?v=_l4hTnEPcyk</a>

AaronIs there anyone out there who could use a highly skilled and experienced ML Engineer or Python programmer for a short-term project? The job market is abysmal, so I'm willing to work on the cheap in a contracted role. I'm also interested in actual full time work, if you know of any opportunities.Please boost for reach.<a href="https://techhub.social/tags/GetFediHired" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#GetFediHired</a> <a href="https://techhub.social/tags/GetFediBHired" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#GetFediBHired</a> <a href="https://techhub.social/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Python</a> <a href="https://techhub.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MachineLearning</a> <a href="https://techhub.social/tags/TensorFlow" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#TensorFlow</a> <a href="https://techhub.social/tags/Torch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Torch</a> <a href="https://techhub.social/tags/NumPy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#NumPy</a> <a href="https://techhub.social/tags/SQL" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#SQL</a> <a href="https://techhub.social/tags/NLP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#NLP</a> <a href="https://a.gup.pe/u/machinelearning" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@machinelearning</a>

Gareth HalfacreeImpressively, it does this in a sub-2W power draw and in real-time - and Raspberry Pi's got a model zoo for you to browse, as well as tools for adapting your own <a href="https://mastodon.social/tags/TensorFlow" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#TensorFlow</a> or <a href="https://mastodon.social/tags/PyTorch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PyTorch</a> projects.My full review over at Hackster: <a href="https://www.hackster.io/news/raspberry-pi-s-ai-eye-hands-on-with-the-raspberry-pi-ai-camera-module-383fb34afcf7?6efbed44e61eea6d89186f42d1935c82" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.hackster.io/news/raspberry-pi-s-ai-eye-hands-on-with-the-raspberry-pi-ai-camera-module-383fb34afcf7?6efbed44e61eea6d89186f42d1935c82</a>

Natasha Nox 🇺🇦🇵🇸What would be the optimal (used) GPU for running LLMs and other Tensor / ROCm workload? I'm seeing Nvidia Tesla M10 cards with 32gb VRAM going for about 200€ in ebay. I don't know the differences between the M, P and K series though and if there are any caveats. Any recommendations? <a href="https://chaos.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AI</a> <a href="https://chaos.social/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#LLM</a> <a href="https://chaos.social/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DeepLearning</a> <a href="https://chaos.social/tags/Tensorflow" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Tensorflow</a> <a href="https://chaos.social/tags/ROCm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ROCm</a> <a href="https://chaos.social/tags/AMD" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AMD</a> <a href="https://chaos.social/tags/NVidia" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#NVidia</a>

Crypto NewsApple used Google’s chips to train its AI — where does that leave Nvidia? - Nvidia’s shrinking market cap could signal a shift in the generative AI ... - <a href="https://cointelegraph.com/news/apple-used-google-chips-train-ai-nvidia" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://cointelegraph.com/news/apple-used-google-chips-train-ai-nvidia</a> <a href="https://schleuss.online/tags/artificialintelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#artificialintelligence</a> <a href="https://schleuss.online/tags/marketcapitalization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#marketcapitalization</a> <a href="https://schleuss.online/tags/tensorflow" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#tensorflow</a> <a href="https://schleuss.online/tags/google" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#google</a> <a href="https://schleuss.online/tags/nvidia" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#nvidia</a> <a href="https://schleuss.online/tags/apple" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#apple</a> <a href="https://schleuss.online/tags/gpu" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#gpu</a> <a href="https://schleuss.online/tags/tpu" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#tpu</a>

Benjamin Carr, Ph.D. 👨🏻‍💻🧬<a href="https://hachyderm.io/tags/AMD" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AMD</a> Releases <a href="https://hachyderm.io/tags/ROCm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ROCm</a> 6.2 With New Components ROCm 6.2 is a big update with several new software components, improving the existing <a href="https://hachyderm.io/tags/PyTorch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PyTorch</a> and <a href="https://hachyderm.io/tags/TensorFlow" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#TensorFlow</a> support, and a variety of other enhancements as AMD works to better compete with <a href="https://hachyderm.io/tags/NVIDIA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#NVIDIA</a>'s <a href="https://hachyderm.io/tags/CUDA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CUDA</a>. ROCm 6.2 also introduces an offline installer to help those running ROCm on systems without an active Internet connection. ROCm 6.2 is also the first release officially supporting <a href="https://hachyderm.io/tags/Ubuntu" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Ubuntu</a> 24.04 LTS. <a href="https://www.phoronix.com/news/AMD-ROCm-6.2-Released" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.phoronix.com/news/AMD-ROCm-6.2-Released</a>

Alasdair AllanBy me for <a href="https://noc.social/@hackster_io" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@hackster_io</a>, "Benchmarking TensorFlow and TensorFlow Lite on Raspberry Pi 5." The big take away from these new benchmarks is that the Raspberry Pi 5 has similar performance when using TensorFlow Lite to the Coral TPU, displaying essentially the same inferencing speed as Google's accelerator hardware. <a href="https://mastodon.social/tags/ML" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ML</a> <a href="https://mastodon.social/tags/TinyML" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#TinyML</a> <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AI</a> <a href="https://mastodon.social/tags/TensorFlow" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#TensorFlow</a> <a href="https://mastodon.social/tags/RaspberryPi" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#RaspberryPi</a> <a href="https://mastodon.social/tags/CoralTPU" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CoralTPU</a> <a href="https://www.hackster.io/news/benchmarking-tensorflow-and-tensorflow-lite-on-raspberry-pi-5-b9156d58a6a2" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.hackster.io/news/benchmarking-tensorflow-and-tensorflow-lite-on-raspberry-pi-5-b9156d58a6a2</a>

Linux MagazineLooking for a new project for your <a href="https://fosstodon.org/tags/RaspberryPi" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#RaspberryPi</a>? MakerSpace #04 is available for pre-order now and is packed with a variety of projects. Reserve your copy in print or digital format now! <a href="https://shop.linuxnewmedia.com/shop/category/makerspace-20" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://shop.linuxnewmedia.com/shop/category/makerspace-20</a> <a href="https://fosstodon.org/tags/DIY" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DIY</a> <a href="https://fosstodon.org/tags/projects" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#projects</a> <a href="https://fosstodon.org/tags/SmartHome" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#SmartHome</a> <a href="https://fosstodon.org/tags/camera" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#camera</a> <a href="https://fosstodon.org/tags/TensorFlow" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#TensorFlow</a> <a href="https://fosstodon.org/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AI</a> <a href="https://fosstodon.org/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Python</a> <a href="https://fosstodon.org/tags/Arduino" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Arduino</a>

AaronThe entire <a href="https://techhub.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MachineLearning</a> and <a href="https://techhub.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataScience</a> team, including me, just got laid off. :( :( :( :( :(Anybody out there looking for an ML or software engineer with >30 years total experience and ~20 years in the industry?I have extensive experience with <a href="https://techhub.social/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Python</a> and <a href="https://techhub.social/tags/ML" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ML</a> frameworks, particularly <a href="https://techhub.social/tags/TensorFlow" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#TensorFlow</a>, and I've worked on <a href="https://techhub.social/tags/NLP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#NLP</a> and <a href="https://techhub.social/tags/ImageProcessing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ImageProcessing</a> both in the workplace and in personal open source projects. My resume is available here:<a href="https://hosford42.github.io/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://hosford42.github.io/</a>I'd love to work for a <a href="https://techhub.social/tags/coop" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#coop</a> or non-profit, if that's a possibility, but I'm open to other options.If you work in this industry or know someone who does, please boost for reach.<a href="https://techhub.social/tags/FediHire" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#FediHire</a> <a href="https://techhub.social/tags/Layoffs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Layoffs</a>

Keira (She/Her)We had a go today at looking through a StackAbuse tutorial on using k-NN, but it was too jargon heavy for our purposes. One of the students is familiar with <a href="https://aus.social/tags/tensorflow" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#tensorflow</a> and <a href="https://aus.social/tags/keras" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#keras</a>, but none of us know anything much about image classification.

Cory DoctorowSo which kind of bubble is AI? When it pops, will anything useful be left behind, or will it go altogether? To be sure, there's a legion of technologists learning <a href="https://mamot.fr/tags/TensorFlow" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#TensorFlow</a> and <a href="https://mamot.fr/tags/PyTorch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PyTorch</a>. These nominally open source tools are bound, respectively, to Google and Facebook's AI environments:<a href="https://pluralistic.net/2023/08/18/openwashing/#you-keep-using-that-word-i-do-not-think-it-means-what-you-think-it-means" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://pluralistic.net/2023/08/18/openwashing/#you-keep-using-that-word-i-do-not-think-it-means-what-you-think-it-means</a>But if those environments go away, those programming skills become a *lot* less useful. Live, large-scale Big Tech AI projects are *shockingly* expensive to run.7/

Cory DoctorowAnd the source-code is licensed under a homebrewed license cooked up by Meta's lawyers, a license that only glancingly resembles anything from the <a href="https://mamot.fr/tags/OpenSourceDefinition" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#OpenSourceDefinition</a>:<a href="https://opensource.org/osd/" rel="nofollow noopener noreferrer" target="_blank">https://opensource.org/osd/</a>Core to Big Tech companies' "open AI" offerings are tools, like Meta's <a href="https://mamot.fr/tags/PyTorch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PyTorch</a> and Google's <a href="https://mamot.fr/tags/TensorFlow" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#TensorFlow</a>. These tools are indeed "open source," licensed under real OSS terms. 23/

Nick TierneyHi folks!I'm a research software engineer, working on making fun <a href="https://aus.social/tags/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#rstats</a> packages for data analysis - from exploratory data analysis, to statistical modelling, to listing synonyms!Here are some of my favourite packages I've written:{visdat}: docs.ropensci.org/visdat{naniar}: naniar.njtierney.com{brolgar}: brolgar.njtierney.com{conmat}: <a href="https://njtierney.github.io/conmat/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://njtierney.github.io/conmat/</a>I currently help maintain the {greta} package for statistical modelling. <a href="https://greta-stats.org/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://greta-stats.org/</a> which builds simple and scalable statistical models using <a href="https://aus.social/tags/TensorFlow" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#TensorFlow</a> Follow me for <a href="https://aus.social/tags/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#rstats</a> questions, answers, and ocassional digressions into hiking and discussions on ultralight gear.<a href="https://aus.social/tags/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#rstats</a> <a href="https://aus.social/tags/rse" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#rse</a> <a href="https://aus.social/tags/researchsoftwareengineering" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#researchsoftwareengineering</a> <a href="https://aus.social/tags/ultralight" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ultralight</a>

xcud<a href="https://noc.social/tags/introduction" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#introduction</a> I run <a href="https://www.lit.ai" rel="nofollow noopener noreferrer" target="_blank">https://www.lit.ai</a>. Most days I write <a href="https://noc.social/tags/python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#python</a>, <a href="https://noc.social/tags/tensorflow" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#tensorflow</a>. Actively working on breakthrough tech in <a href="https://noc.social/tags/healthcare" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#healthcare</a>, <a href="https://noc.social/tags/fintech" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#fintech</a>, & <a href="https://noc.social/tags/retail" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#retail</a>.Lifetime of <a href="https://noc.social/tags/coding" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#coding</a> started in 1980. Active in the early 90s <a href="https://noc.social/tags/STL" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#STL</a> <a href="https://noc.social/tags/hacking" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#hacking</a> scene. Worked at msft, dell, fujitsu.Happily married 30 years (since 19) w/ 3 children in college, 2 with <a href="https://noc.social/tags/ASD" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ASD</a>.I play <a href="https://noc.social/tags/chess" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#chess</a>, <a href="https://noc.social/tags/BJJ" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#BJJ</a>, & <a href="https://noc.social/tags/hockey" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#hockey</a>.I grew up on the muddy banks of the Big Piney river (tributary to Gasconade > <a href="https://noc.social/tags/Missouri" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Missouri</a> > Mississippi).

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