artificial intelligence brain
The quest for creating thinking machines has split artificial intelligence into two fields: Narrow AI, what we have, and general AI, what we wish to achieve
NLP and NLG, the two branches of AI that parse and generate human language, have removed many of the barriers between humans and computers.
Graph Neural Networks
Graph neural networks (GNN) are a type of machine learning algorithm that can extract important information from graphs and make useful predictions.
openai dactyl reinforcement learning robot hand
From game-playing bots to robotic hands that dexterously handle objects, reinforcement learning creates AI models that requires little training data.
Robot in maze
Adversarial examples are slight manipulations that cause machine learning algorithms to misclassify images while going unnoticed to the human eye.
We thought AI algorithms never become racist or sexist. We were wrong. They can inherit our prejudices and amplify them manifold.
Data Augmentation
Data augmentation improves machine learning performance by generating new training examples from existing data.
Everything you need to know about artificial neural networks (ANN), the state-of-the-art of artificial intelligence that help computers solve tasks that are impossible with classic AI approaches.
facial recognition mobile app
One-shot learning allows deep learning algorithms to measure the similarity and difference between two images.
A machine learning expert decided to address artificial intelligence's lack of imagination, and overnight, he invented generative adversarial networks (GAN).