Monday, January 25, 2016

AI, ML: Enterprise and Open Source

AI, Machine Learning Rising In The Enterprise - InformationWeek
"...estimates that about half of large enterprises are experimenting with "smart computing" projects. Organizations are examining problems and deciding whether AI can be applied to the solutions.
Tech Companies Donate Machine Learning to Open Source

Last fall, IBM announced that its machine learning engine SystemML for Apache Spark won acceptance into the Apache Incubator program.

Google released its TensorFlow machine learning system to open source, offering it as a standalone library and associated tools, tutorials, and examples under the Apache 2.0 license.

Microsoft announced the release of its Distributed Machine Learning Toolkit to the developer community, available on GitHub.

Intel made its open source-built Trusted Analytics Platform, more commonly known as TAP, available last summer, and showcased users of the system at the Strata + Hadoop event in New York last fall.

Facebook AI Research (FAIR), which had already released to open source its deep-learning modules for the open source development environment Torch in Jan. 2015, last month announced another move. This time Facebook said it would release its server hardware design that's been optimized for machine learning to open source. Facebook has submitted the GPU-based system design materials to the Open Compute Project."

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