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Category Archives: AI

Building Jarvis – Mark Zuckerberg

Building Jarvis, Mark Zuckerberg – Monday, December 19, 2016 “My personal challenge for 2016 was to build a simple AI to run my home — like Jarvis in Iron Man.My goal was to learn about the state of artificial intelligence — where we’re further along than people realize and where we’re still a long ways… Continue Reading

McKinsey Report – The Age of Analytics – Competing in a Data-Driven World

The Age of Analytics – Competing in a Data-Driven World, December 2016 – Executive Summary; Full Report; Appendix (PDF) “Data and analytics capabilities have made a leap forward in recent years. The volume of available data has grown exponentially, more sophisticated algorithms have been developed, and computational power and storage have steadily improved. The convergence… Continue Reading

Data Science Central – Great list of resources: data science, visualization, machine learning, big data

Great list of resources: data science, visualization, machine learning, big data Posted by Vincent Granville on December 17, 2016. “Fantastic resource created by Andrea Motosi. I’ve only included the 5 categories that are the most relevant to our audience, though it has 31 categories total, including a few on distributed systems and Hadoop. Click here to view… Continue Reading

Paper – Judging a Book By its Cover – using neural networks

Judging a Book By its Cover, Brian Kenji Iwana, Seiichi Uchida. [v1] Fri, 28 Oct 2016. arXiv:1610.09204 “Book covers communicate information to potential readers, but can the same information be learned by computers? We propose a method of using a Convolutional Neural Network (CNN) to predict the genre of a book based on the visual… Continue Reading

Paper – Predicting judicial decisions of the European Court of Human Rights

Aletras N, Tsarapatsanis D, Preoţiuc-Pietro D, Lampos V. Predicting judicial decisions of the European Court of Human Rights: a Natural Language Processing perspective. Peer J Computer Science 2:e93 https://doi.org/10.7717/peerj-cs.93 “Recent advances in Natural Language Processing and Machine Learning provide us with the tools to build predictive models that can be used to unveil patterns driving… Continue Reading

Microsoft releases beta of Microsoft Cognitive Toolkit for deep learning advances

“Microsoft has released an updated version of Microsoft Cognitive Toolkit, a system for deep learning that is used to speed advances in areas such as speech and image recognition and search relevance on CPUs and NVIDIA® GPUs. The toolkit, previously known as CNTK, was initially developed by computer scientists at Microsoft who wanted a tool to… Continue Reading

Paper – Learning to Protect Communications with Adversarial Neural Cryptography

Learning to Protect Communications with Adversarial Neural Cryptography, Martın Abadi and David G. Andersen – Google Brain. 21 October 2016. “We ask whether neural networks can learn to use secret keys to protect information from other neural networks. Specifically, we focus on ensuring confidentiality properties in a multiagent system, and we specify those properties in… Continue Reading