Artificial intelligence (AI, also machine intelligence, MI) is intelligence demonstrated by machines, in contrast to the natural intelligence (NI) displayed by humans and other animals. In computer science AI research is defined as the study of “intelligent agents”: any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. Colloquially, the term “artificial intelligence” is applied when a machine mimics “cognitive” functions that humans associate with other human minds, such as “learning” and “problem solving”.


It is a common misconception that AI is absolutely objective, since AI is objective only in the sense of learning what human teaches.

Text classification with Tensorflow 2.0

The classic IMDB classification based on Tensoflow 2.0

Fashion MNIST using Temsorflow 2.0

The MNIST fashion set consists of images of clothing, like sneakers and shirts. It's somewhat more complex than the the classic MNIST dataset.

Serving TensorFlow models

Restify TF networks and other ways to serve intelligence.

The Keras Functional API

The Keras API makes creating deep learning models fast and easy.

Advanced topics in deep reinforcement learning

Part of a large set of lectures on deep reinforcement learning by DeepMind.

Apache Jena disaster

Jena and Fuseki are not reliable.

Grakn has something new and exciting but not yet ready for prime time.

Graph nets

Learning from graphs rather than from tabular data.

Hypterparameter optimization with genetic algorithm

Using a genetic algorithm to optimize the neural network.