Tri-Net v2: Open-source implementation of our Scientific Reports paper on unifie

<!-- SC_OFF --><div class="md"><p>Released this week after a few months of work.</p> <p>The problem:</p> <p>Getting Australian medical document training data legally is a dead

<table> <tr><td> <a href="https://www.reddit.com/r/MachineLearning/comments/1texa4d/made_and_published_a_paper_comparing_analysis_of/"> <img alt="Made and Published a Paper

<!-- SC_OFF --><div class="md"><p>The BDH (Dragon Hatchling) paper (arXiv:2509.26507) describes a Hebbian synaptic plasticity mechanism where model weights update during

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1s2e0d5/built_an_opensource_llm_router_for_consumer_gpus/"> <img alt="Built an open-source LLM router for

<!-- SC_OFF --><div class="md"><p>Even with agent framework DX getting somewhat better - it's still really annoying to build real apps with them. Even a basic in-app agent chatbot

<!-- SC_OFF --><div class="md"><p>Most classification metrics for oncology AI models (AUC, ICC, MAE) measure global agreement. They don't answer the question that actually matters

<!-- SC_OFF --><div class="md"><p>Link to the paper:</p> <p><a

<!-- SC_OFF --><div class="md"><p>Just putting together a quick list of the new <strong>open-source physical AI / robotics models</strong> from <strong>NVIDIA GTC