Featured topics
Topic Machine Learning
5 articles
AI DevelopmentWhat Is Reinforcement Learning? What Was Happening Behind That “Extra-Dimensional Fight”?
Using our NVIDIA Isaac Sim robot sumo experiment, this article explains reinforcement learning through state, action, environment, reward, and trial and error. It also shows how RL differs from supervised learning and why the robots discovered lariats, folded arms, and aerial attacks.
AI DevelopmentConstellation Recognition: GNN + Symbolic AI — Developing a Hybrid Model
We developed a hybrid AI system that detects, separates, and reconstructs Orion, Cassiopeia, and the Big Dipper from noisy, rotated, and scaled point clouds. It combines geometric signatures, an edge-updating GNN, and symbolic graph-isomorphism constraints, reaching a test macro F1 score of 96.91%.
AI DevelopmentAutomatically Generate 3D Models by Inferring Noisy Floor Plans! A Challenge in CubiCasa5K Analysis and Reverse Engineering
Using only floor plan images and SVG annotations—and without reading the official paper or code—the author reverse-engineered CubiCasa5K. The article covers semantic segmentation, random-rotation augmentation, inference of an incomplete sauna door, and conversion of the final result into a 3D model.
AI DevelopmentAI Economist: Reinforcement Learning in Economics
Experimenting with the AI Economist API to simulate free markets and communism using Reinforcement Learning (RL) agents.
AI DevelopmentApplying Self Pre-Training Method to GNN for Quantum Chemistry
Explore how self pre-training methods are applied to Graph Neural Networks (GNN) to improve predictions in quantum chemistry.
