AI Economist: Reinforcement Learning in Economics
Generative AI & MLExperimenting with the AI Economist API to simulate free markets and communism using Reinforcement Learning (RL) agents.
Applying Self Pre-Training Method to GNN for Quantum Chemistry
Generative AI & MLExplore how self pre-training methods are applied to Graph Neural Networks (GNN) to improve predictions in quantum chemistry.
Transformer with OCR: From Molecule to Manga
Generative AI & MLExploring the application of Transformer encoder-decoder models in OCR tasks, analyzing performance on Manga datasets.
MAL FaceEmotion: Real-Time Facial Emotion Recognition AI
Generative AI & MLIntroducing MAL FaceEmotion, an AI tool that quantifies facial expressions in real-time to visualize human emotions.
DIY Conveyor Automatic Capture Machine for AI Datasets
Web & Cloud InfraSee how we built a DIY conveyor belt integrated with Arduino and cameras to automatically collect image data for deep learning.
Realtime Multiple Pair-Eye Tracking on Edge Devices
Generative AI & MLLearn how we converted a RetinaFace-based AI model for realtime multiple pair-eye tracking at 60 fps on edge devices.
What is Background Removal using DIS?
Generative AI & MLA comprehensive guide on removing backgrounds from images using Dichotomous Image Segmentation (DIS) AI models.
Reproducing the Results: Burst Denoising of Dark Images
Generative AI & MLOur AI team's implementation and evaluation of the deep learning model based on the paper "Burst Denoising of Dark Images".
Atomoscan × Radio Culture: Visualizing Office Vibes
Business & CultureLearn how Vitalify Asia uses "Atomoscan" AI to measure office happiness and visualize how music improves workplace atmosphere.
BERT Meets the Protein 3D Structure
Generative AI & MLDiscover how BERT is applied to solve complex biochemistry tasks, including predicting protein 3D structures.
Part 1: Introduction to gRPC Framework
Web & Cloud InfragRPC is a robust open-source RPC framework used to build scalable and fast APIs for modern applications.
Understanding RAG (Retrieval-Augmented Generation)
Generative AI & MLRetrieval-Augmented Generation (RAG) optimizes LLM outputs by referencing external knowledge securely.











