Category: reinforcement learning

Building a realistic Reddit AI that get upvoted in Python

Building a realistic Reddit AI that get upvoted in Python

Sometimes I find these AI / programming hobby projects that I just wished I had thought of... Will Stedden combined OpenAI's GPT-2 deep learning text generation model with another deep-learning language model by Google called BERT (Bidirectional Encoder Representations from Transformers) and created an elaborate architecture that had one purpose: posting the best replies on … Continue reading Building a realistic Reddit AI that get upvoted in Python

Neural Synesthesia: GAN AI dreaming of music

Neural Synesthesia: GAN AI dreaming of music

Xander Steenbrugge shared his latest work on LinkedIn yesterday, and I was completely stunned! Xander had been working on, what he called, a "fun side-project", but which was in my eyes, absolutely awesome. He had used two generative adversarial networks (GANs) to teach one another how to respond visually to changing audio cues. This resulted … Continue reading Neural Synesthesia: GAN AI dreaming of music

ArchiGAN: Designing buildings with reinforcement learning

ArchiGAN: Designing buildings with reinforcement learning

I've seen some uses of reinforcement learning and generative algorithms for architectural purposes already, like these evolving blueprints for school floorplans. However, this new application called ArchiGAN blew me away! ArchiGAN (try here) was made by Stanislas Chaillou as a Harvard master's thesis project. The program functions in three steps: building footprint massingprogram repartitionfurniture layout … Continue reading ArchiGAN: Designing buildings with reinforcement learning