AI Use Case
Subvert ad blocking software
In the race between online marketers and people keen to avoid being marketed to neural networks have been deployed to subvert ad blocking software (by, for example, working out which images might avoid being blocked). Ad blocking software has increasingly deep penetration amongst consumers which poses a challenge to online publishers. Subverting ad blockers is unlikely to be the last lap in this particular race.
Revenue - New customer discovery,Cost - Improved advertising efficiency
Eyeo~Eyeo leverages machine learning and object detection to develop ad blocking technology
Consumer Goods And Services
Media And Publishing
Model Architecture - Deep Neural Networks,Model Architecture - Convolutional Neural Network (CNN),Model Architecture - R-CNN,Algorithm - Generative Adversarial Network (GAN),Machine Learning (ML),ML Task - Prediction - Annotation,ML Task - Prediction - Multi-class Classification,ML Task - Prediction - Binary Classification,Model Architecture - Artificial Neural Network (ANN)