Amazon, Google, IBM, and Microsoft Open Source IoT Machine Learning and Shift Focus from Proprietary Technology to Proprietary Data

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By Ryan Martin | 3Q 2016 | IN-4163


Machine Learning for the Masses


At more than $1.4 trillion, Amazon, Google, IBM, and Microsoft have a combined market cap that dwarfs the annual gross domestic product (GDP) of more than 90% of countries in the world. Each has also open sourced its own deep learning library in the past 12 to 18 months.

This includes Amazon’s Deep Scalable Sparse Tensor Network Engine (DSSTNE; pronounced “destiny”), the same foundation that powers the company’s product recommendation capabilities; Google’s TensorFlow, the company’s second-generation machine learning system; IBM’s SystemML, contributed to Apache Spark and offered as a service through Bluemix; and Microsoft’s Computational Network Toolkit (CNTK), which followed the release of its Distributed Machine Learning Toolkit (DMLT).

Baidu (Warp-CTC), Facebook (through its Facebook AI Research arm known as “FAIR”), and OpenAI (backed by Elon Musk, Reid Hoffman, Peter Theil, etc.) are among a growing list of players also in the open-source artificial intelligence (AI)/machine learning (ML) race.

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