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This article was considered for deletion at Wikipedia on November 9 2017. This is a backup of Wikipedia:Skymind. All of its AfDs can be found at Wikipedia:Special:PrefixIndex/Wikipedia:Articles_for_deletion/Skymind, the first at Wikipedia:Wikipedia:Articles_for_deletion/Skymind. Purge


Skymind is an artificial intelligence company supporting the open source deep learning framework Deeplearning4j and the JVM-based scientific computing library ND4J. The company was founded in 2014 by Adam Gibson and Chris Nicholson, and is headquartered in San Francisco, California.[1][2] It is privately funded, and raised $6.3 million in seed financing in 2016 and 2017 from such notable investors as Y Combinator, Tencent, Ron Conway's SV Angel, and former Oracle CEO Ray Lane.[3][4][5]

Applications and Use Cases

Skymind's deep neural networks can be applied to use cases such as fraud and anomaly detection,[6] recommender systems, machine vision,[7] machine translation, machine transcription, face and voice recognition, time series predictions, business intelligence and econometric analytics. They are able to perform dimensionality reduction, classification, regression, collaborative filtering, feature learning and topic modeling.[8] In September 2017, Skymind partnered with Japanese tech company SoftBank to bring machine vision and goal-oriented learning to its Pepper and Fetch robots.[9]

Media Coverage & Recognition

Skymind has been profiled by several major media outlets, including The New York Times, The Washington Post and Bloomberg News.[10][11][12][13][14] It was named one of the top 100 AI companies by CB Insights in 2017.[15] It was named one of the top enterprise software startup employers by Business Insider in December 2016.[16] And it was named a Gartner Cool Vendor in 2017.[17] Skymind was named one of the top seven startups to come out of Y Combinator's demo day in March 2017.[18]

Product & Technology

Skymind has implemented neural networks such as convolutional networks, recurrent networks (including LSTMs), restricted Boltzmann machines, deep belief networks, deep autoencoders and word2vec.

Skymind bundles the open-source software libraries it created, such as Deeplearning4j and ND4J, alongside other popular deep learning tools like Tensorflow and Keras, in an enterprise distribution called the Skymind Intelligence Layer (SKIL). The free, community edition of SKIL was released in November, 2017.[19] SKIL CE is a deep learning environment that takes machine learning developers from notebooks through deployment.

Skymind Intelligence Layer (SKIL)

The Skymind Intelligence Layer is Skymind's enterprise distribution of its open-source libraries. It is a pre-built and pre-configured collection of software packages focused on machine learning that can be installed and used together. SKIL is an operating system for deep learning, integrating with Hadoop, Spark and Kafka while running dockerized on Mesos.[20][21]


Deeplearning4j is an open source deep learning library written for Java and the Java Virtual Machine[22][23] and a computing framework with wide support for deep learning algorithms. Its algorithms all include distributed parallel versions that integrate with Hadoop and Spark.[24] Deeplearning4j and Skymind's other open-source libraries were proposed for contribution to the Eclipse Foundation in October 2017.[25]

ND4J: A Tensor Library for the JVM

ND4J is a free, open-source extension of the Java programming language operating on the Java Virtual Machine—though it is compatible with both Scala and Clojure.[26] It includes the Scala wrapper ND4S.[27]


DataVec is a software library for the preprocessing and vectorization of data. DataVec can normalize, standardize and vectorize all major data types, such as text, time series, image, video and sound.[28]


JavaCPP is the bridge between the Java and C++ programming languages, which avoids much of the overhead of the Java Native Interface (JNI) to allow programmers on the JVM a way to perform computationally intensive tasks quickly.[29] It was created and is maintained by a Skymind engineer.


  1. Gill, Philip (2016-05-01). "Deep Learning". Java Magazine. Retrieved 2017-11-04. 
  2. Simoneaux, Brent (2017-05-01). "The Right Side of the Robots". Open-Source Stories: AI Revolutionaries. Retrieved 2017-11-04. 
  3. "Skymind raises $3M to bring its Java deep-learning library to the masses". 2016-09-28. Retrieved 2016-10-21. 
  4. "Blood, Sweat and Years: Raising Money As A Deep Learning Startup". 2016-10-23. Retrieved 2016-10-24. 
  5. "Skymind corporate profile". 2016-09-28. Retrieved 2017-11-04. 
  6. King, Rachael. "Orange Tests Deep-Learning Software to Identify Fraud" (in en). Wall Street Journal. 
  7. "Watch this documentary about the AI-powered future of self-driving cars". The Next Web. 2016-05-01. Retrieved 2017-11-04. 
  8. "Interview with the man who’s bringing scalable, deep learning to businesses". 2016-10-24. Retrieved 2016-10-24. 
  9. Tilley, Aaron. "Deep Learning Could Finally Make Robots Useful" (in en). Forbes. 
  10. Metz, Cade. "Tech Giants Are Paying Huge Salaries for Scarce A.I. Talent" (in en). The New York Times. 
  11. Dwoskin, Elizabeth. "China is flooding Silicon Valley with cash. Here’s what can go wrong." (in en). The Washington Post. 
  12. Quach, Katyanna. "Don't fall for the AI hype: Here are the ingredients you need to build an actual useful thing" (in en). The Register. 
  13. Bergen, Mark. "China’s Plan for World Domination in AI Isn’t So Crazy After All" (in en). Bloomberg. 
  14. Alba, Davey. "Here’s What Security Experts Think About The iPhone X’s New Face ID Feature" (in en). Buzzfeed. 
  15. "The AI 100" (in en). CB Insights. 
  16. Weinberger, Matt. "51 enterprise startups to bet your career on in 2017" (in en). Business Insider. 
  17. Sicular, Sicular. "And the 2017 Cool Vendors Are..." (in en). Gartner. 
  18. Constine, Josh. "The top 7 startups from Y Combinator Winter ’16 Demo Day 1" (in en). TechCrunch. 
  19. "Skymind Intelligence Layer Community Edition Quickstart Page". 2017-11-02. 
  20. "Deep learning startup Skymind raises $3 million, launches Intelligence Layer distribution". VentureBeat. 2016-09-28. Retrieved 2016-10-21. 
  21. Rubinstein, David. "Skymind to release community edition of deep learning platform" (in en). Software Development Times (SD Times). 
  22. Metz, Cade (2014-06-02). "The Mission to Bring Google's AI to the Rest of the World". Retrieved 2014-06-28. 
  23. Vance, Ashlee (2014-06-03). "Deep Learning for (Some of) the People". Bloomberg Businessweek. Retrieved 2014-06-28. 
  24. "Adam Gibson, DeepLearning4j on Spark and Data Science on JVM with nd4j, SF Spark @Galvanize 20150212". SF Spark Meetup. 2015-02-12. Retrieved 2015-03-01. 
  25. "Project Proposal for Eclipse Deeplearning4j". Eclipse Foundation. Retrieved 2017-11-04. 
  26. "ND4J: Scientific Computing for Java & Scala". 
  27. "Github Repository:N-dimensional arrays for Scala". 
  28. "DataVec: A General-Purpose ETL Library for Machine Learning". Github. 2016-05-01. Retrieved 2017-11-04. 
  29. "Github Repository for JavaCPP". Github. 

External links