MACHINE LEARNING

→ View original post on X — @maximelabonne

Synthetic Pretraining Improves Reasoning in Sub-1B Models

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@maximelabonne

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28 April 2026 21h30

Synthetic pretraining for sub-1B reasoning models Cool write-up from Tufa Labs (Matteo Saponati) on whether synthetic data augmentation actually helps very small (<1B) models reason better. They pretrain a 0.8B model with the Qwen3 architecture from scratch on 12B tokens of

→ View original post on X — @kimmonismus

SandboxAQ’s Large Quantitative Models: Beyond LLMs

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@kimmonismus

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28 April 2026 20h57

SandboxAQ spun out of Google, raised $950M+, and is backed by NVIDIA. Everyone is talking about LLMs.
Almost nobody is talking about LQMs. Sandbox bet: Large Quantitative Models that simulate physics and chemistry to invent new drugs and materials. I talked to their GM of AI

Build RAG Applications with Langchain and Streamlit Locally

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28 April 2026 20h26

Langchain + Streamlit: Build Your Own RAG and Run it Locally! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #NLProc #Python #RStats #TensorFlow #CloudComputing #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Build-Your-own
-RAG
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Deep Feature Optimization for Cancer Detection Using Self-Supervised Learning

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28 April 2026 20h26

Deep Feature Optimization using Fusion of Multiple Self Supervised Learning for Cancer Approach! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #HealthTech #Java #JavaScript #ReactJS #GoLang #CloudComputing

Spiking Neural Logic Circuits for Sequential Biocomputation

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28 April 2026 20h26

Planar Neuronal Logic Circuit Designs Using Spiking Model! A Framework for Sequential Biocomputation! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless

AI Books 2026: Data Science and Machine Learning Reading Guide

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28 April 2026 20h26

AI Books I’m Reading in 2026! #BigData #Analytics #DataScience #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/AI-Books-2026

Optimizing Deep Neural Networks Through Advanced Sampling Techniques

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28 April 2026 20h26

Improving Deep Neural Network Performance Through Sampling! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding

→ View original post on X — @ronald_vanloon

GITAI’s Centaur Robot Designed for Moon’s Harsh Terrain

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@ronald_vanloon

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28 April 2026 20h19

GITAI’s Centaur-Like #Robot Is Built to Work on the Moon’s Harsh Terrain
by @CyberRobooo #Robotics #MachineLearning #ArtificialIntelligence #ML pic.twitter.com/1pzYzZDBkz
— Ronald van Loon (@Ronald_vanLoon) 28 avril 2026

GITAI’s Centaur-Like #Robot Is Built to Work on the Moon’s Harsh Terrain
by @CyberRobooo #Robotics #MachineLearning #ArtificialIntelligence #ML

→ View original post on X — @clementdelangue

ML Intern Gets Real-Time Training Monitoring with Native Metrics

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@clementdelangue

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28 April 2026 20h12

Added native metric logging + @TrackioApp integration to ml intern so that you can follow every training run it kicks off in real time. Try it by asking "train a tiny model on a tiny dataset, find something super small/super fast that will work well" to your ml intern: