Machine Learning

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Theory of learning of high-dimensional controlled non-linear dynamical systems (I): models and methods

 📐Optimization Theory  Content type: Academic
arxiv.org·

KJLdefeated/RL.cu: RLVR training for LLM in CUDA/C++

 🤖AI  Content type: Code
github.com··Hacker News

Ultrafast machine learning on FPGAs via Kolmogorov-Arnold Networks

 📐Optimization Theory

Timing Trick Cuts Energy Used in LLM Training by Up to 14 Percent

 🤖AI  Content type: News
spectrum.ieee.org
··Hacker News

How to Preprocess Medical Images for Machine Learning – A Guide Using Chest X-Rays

 📡Signal Processing
freecodecamp.org·

Vibe Diaries: Training Nanochat

 🤖AI
vibediary.dev··Hacker News

Tokenminning: Because Tokenmaxxing Is a Bad Idea

 ✍️Prompt Engineering

A Theory on Flow Matching with Neural Networks

 📐Optimization Theory  Content type: Academic
arxiv.org·

The Untrainable

 📐Optimization Theory  Content type: News  Content type: Blog

Stack Overflow didn't just help AI learn to code

 🤖AI

Scale Robot Reinforcement Learning with NVIDIA Isaac Lab on Amazon SageMaker AI

 🎮Reinforcement Learning  Content type: Blog
aws.amazon.com·

Forward-Only Convolutional Neural Networks with Learnable Channel-Class Assignment

 🤖AI  Content type: Academic
arxiv.org·

We Should Take Text Optimization More Seriously

 🕵️LLM Agents  Content type: Blog
yoonholee.com··Hacker News

Unpacking AI: The Hardware Behind AI

 🤖AI  Content type: News

Introducing the Third Generation of Apple’s Foundation Models

 🤖AI

Duality for Optimal Multi-Item, Multi-Bidder Auction Design: Revenue Certificates through Deep Learning

 📐Optimization Theory  Content type: Academic
arxiv.org·

OpenEnv is now owned by HF, Torch, Prime Intellect, Unsloth, Modal, Mercor, and more! Use it for training agents.

 🎮Reinforcement Learning  Content type: Blog

Exploring the Design Space of Reward Backpropagation for Flow Matching

 🤖AI  Content type: Academic
arxiv.org·

ml-from-scratch-book/code: Companion code for Machine Learning From Scratch — 10 core ML algorithms built from scratch with NumPy, compared with Scikit-learn and PyTorch.

 🔢Scientific Computing  Content type: Code
github.com··Hacker News
Less-relevant results

See, Act, Correct: three levers for working with a code agent

 🎮Reinforcement Learning  Content type: Blog

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