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AI doesn’t struggle with common data. It struggles with the long tail the rare, messy, real world scenarios that models almost never see. • Unusual accents • Robotics failures • Medical edge conditions These are the moments that rarely appear in web scraped datasets. This is the data that actually improves real world AI performance, and it’s the hardest for companies to collect on their own. @psdnai solves this by building subnetworks tailored to each domain, so communities can collect and submit the long tail data that centralized systems miss. Every dataset is then validated, labeled, and registered as a rights cleared IP asset through Story. This is how the long tail finally becomes usable. @StoryProtocol #AI #machinelearningcode #iplayer
𝐐𝐮𝐚𝐥𝐢𝐭𝐲 & 𝐓𝐫𝐮𝐬𝐭 AI doesn’t just need more data. It needs trustworthy data. Most datasets are noisy, duplicated, mislabeled, or collected without any real checks. Feeding that into a model will always result in unreliable behavior, no matter how big the model is. This is why @psdnai doesn’t stop at data collection. It runs every dataset through a full quality pipeline: • Validation • Cleaning • Annotation • Packaging • Provenance Rights Registration Bad data gets filtered. Quality data becomes an onchain IP asset with clear traceability. Quality isn’t optional. It’s the foundation. @StoryProtocol #poseidon #IP #OnChainData #OnchainIP
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Industry 5.0, Cognitive Maintenance & AI-Powered Machine Health with Leon Lim CEO of Groundup.ai! Listen to the full episode: aifn.co/leon-lim-industry-50… #ai #IndustryHit #aipowered #machinelearningcode #healthcare
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I documented the entire process in a clean Jupyter Notebook. It includes the Python code for Handling Missing Values, Outliers, and Standardization from scratch. Check it out here: github.com/Thegd17/11-days-o… Follow for Day 2! 🔔 #DataScience #machinelearningcode #Python
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19 Nov 2025
Replying to @elonmusk
xAI Grok warned of a tipping point: a moment when AI replaces jobs faster than society can invent new ones—an economic riptide we may not be ready for. #ML #AI #Innovation #polymath #ArtificialIntelligence #machinelearningcode
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19 Nov 2025
Claude warned of a tipping point: a moment when AI replaces jobs faster than society can invent new ones—an economic riptide we may not be ready for. #ML #AI #Innovation #polymath #ArtificialIntelligence #machinelearningcode
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A Coding Implementation to Build and Train Advanced Architectures with Residual Connections, Self-Attention, and Adaptive Optimization Using JAX, Flax, and Optax In this tutorial, we explore how to build and train an advanced neural network using JAX, Flax, and Optax in an efficient and modular way. We begin by designing a deep architecture that integrates residual connections and self-attention mechanisms for expressive feature learning. As we progress, we implement sophisticated optimization strategies with learning rate scheduling, gradient clipping, and adaptive weight decay. Throughout the process, we leverage JAX transformations such as jit, grad, and vmap to accelerate computation and ensure smooth training performance across devices. Check out the FULL CODES here: github.com/Marktechpost/AI-T… Tutorial: marktechpost.com/2025/11/10/… #machinelearningprojects #machinelearningtutorial #machinelearningcode #machinelearningforbeginners #DataScientist #datasciencetutorials
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4 Nov 2025
Exactly said @Tech_girlll It's now being taken advantage of Especially by those looking to fund their startup idea. #machinelearningcode #Innovation
4 Nov 2025
Everywhere you look, someone’s adding AI to something, even when it doesn’t need it. It’s like the tech world has turned “AI” into a status symbol, not a solution. But here’s what I keep asking myself: Are we still solving problems, or just chasing trends? That’s why I’m hosting a Space soon, not to bash AI, but to talk about balance. When does AI actually make things better? And when does it start to dilute the essence of what we’re building? This isn’t a conversation about being anti-AI. It’s about slowing down, questioning the hype, and rethinking what “innovation” really means. Set a reminder twitter.com/i/spaces/1MYxNlO…
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My Dumbahh tryna predict my scores for next chem exam using ollama at 11 pm using scikit-learn for the first time ; fun to use btw the exam is tomorrow (i ain't getting my results near to the predicted) #machinelearningcode
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Why can't we use git for versioning of Data or ML models???? Can anyone answer??? #machinelearningcode #DataScience
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"We're smart enough to invent AI, dumb enough to need it, and so stupid we can't figure out if we did the right thing." - Jerry Seinfeld. Something to think about 🤔 #machinelearningcode #artificial_intelligence #computerbasedintelligence
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When we started Ark, we had no idea that it would grow big, reaching ~2K downloads! This is beyond my wildest dreams, but it clearly signifies a problem with ROS. I believe, Ark (and the likes) is the future for robotics programming: ☑️ Pip installable ☑️ Easy to use without the C hassle ☑️ Supports many robotic systems and sensors ☑️ Supports ROS if you want to use it Everything is open source for you to use. You can find it here: 🖇️github.com/Robotics-Ark/ark_… I made a short video (from an assortment of videos online) of some of the robots integrated into Ark and their awesome capabilities. 👇 #Robotics #Robot #AIイラスト #machinelearningcode
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Day 39,40 of #100DaysOfCode Couldn't code much as was working on a submission:solved Eating Candies. Learnt PowerTransformer in ML. Solved double ended strings(least common string) prob. #tleeliminators #Coding #CodingJourney #machinelearningcode
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Still in week 1 sha.🌚 Guys, I don't even know what to use to close #Week1, omoor. 🥹 See you guys tomorrow in #Week2 , I definitely have a lot to say. #Python #Matplotlib #Seaborn #NumPy #Pandas #artificial_intelligence #machinelearningcode
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17 Oct 2025
Code finally ran...Accuracy still trash 😭 send moral support only #machinelearningcode #svm
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