OpenNN is an open source class library written in C++ programming language which implements neural networks, a main area of machine learning research.

Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation.

Apache Mahout(TM) is a distributed linear algebra framework and mathematically expressive Scala DSL designed to let mathematicians, statisticians, and data scientists quickly implement their own algorithms. Apache Spark is the recommended out-of-the-box distributed back-end, or can be extended to other distributed backends.

TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

Apache cTAKES™ is a natural language processing system for extraction of information from electronic medical record clinical free-text. The development of cTAKES started in 2006 by a team of physicians, computer scientists and software engineers at the Mayo Clinic. The development team was led by Dr. Guergana Savova & Dr. Christopher Chute. cTAKES is released open source under an Apache v2.0 license. This system was deployed at Mayo and is currently an integral part of their clinical data management infrastructure and has processed in excess of 80 million clinical notes.

Investing primarily in companies which FMR believes have, or will develop, products, processes or services that will provide or will benefit significantly from technological advances and improvements. Normally investing at least 80% of assets in securities of companies principally engaged in these activities. Normally investing primarily in common stocks.