Category: deep 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

Building a $86 million car theft AI in 57 lines of JavaScript

Building a $86 million car theft AI in 57 lines of JavaScript

Tait Brown was annoyed at the Victoria Police who had spent $86 million Australian dollars on developing the BlueNet system which basically consists of an license-plate OCR which crosschecks against a car theft database. Tait was so disgruntled as he thought he could easily replicate this system without spending millions and millions of tax dollars. … Continue reading Building a $86 million car theft AI in 57 lines of JavaScript

Why cancer screening is the last thing you should pick first to work on with AI

Why cancer screening is the last thing you should pick first to work on with AI

I came across this opinionated though informed commentary by Vinay Prasad on the recent Nature article where Google's machine learning experts trained models to predict whether scans of patients' breasts (mammogram's) show cancerous cells or not. Vinay Prasad [official bio] is a practicing hematologist-oncologist and Associate Professor of Medicine at Oregon Health and Science University. … Continue reading Why cancer screening is the last thing you should pick first to work on with AI

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

Overviews of Graph Classification and Network Clustering methods

Thanks to Sebastian Raschka I am able to share this great GitHub overview page of relevant graph classification techniques, and the scientific papers behind them. The overview divides the algorithms into four groups: FactorizationSpectral and Statistical FingerprintsDeep LearningGraph Kernels Moreover, the overview contains links to similar collections on community detection, classification/regression trees and gradient boosting papers with implementations. As … Continue reading Overviews of Graph Classification and Network Clustering methods

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