Artificial Intelligence Technologies & Solutions

This section of the blog contains an ever growing list of technologies used in AI development, production, research and education. If you are a technology provider in the A.I. space and want your products and solutions featured here, please use the form at the bottom of this page.


TensorFlow is an open-source software library for machine learning across a range of tasks, and developed by Google to meet their needs for systems capable of building and training neural networks to detect and decipher patterns and correlations, analogous to the learning and reasoning which humans use. It is currently used for both research and production at Google products.


Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. It was developed with a focus on enabling fast experimentation. Being able to go from idea to result with the least possible delay is key to doing good research.


CAFFE (Convolutional Architecture for Fast Feature Embedding) is a deep learning framework, originally developed at UC Berkeley. It is open source, under a BSD license.


Theano is a numerical computation library for Python. In Theano, computations are expressed using a NumPy-esque syntax and compiled to run efficiently on either CPU or GPU architectures.

Submit an Artificial Intelligence Technology

This is such a rapidly growing space that I don't expect to be able to keep up-to-date without your help. If you would like me to add a technology to this section of the blog, please complete the form below. Important: The more information you provide, and the higher the quality of the information you provide is, the faster I will be able to add it to the blog. Shortcuts just waste both our time.

Name *
This will be used as the page title for your technology.
A (deep) link to the technology's main webpage.
This will be used for introductory snippets. Please keep it under 150 characters.
This can be as long as you like, but ideally it would be under or around 500 words. Insert links to videos or images within the description.
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