Sustaining machine learning in the enterprise

The promise of SDN has always been applications that can communicate behaviors and needed resources with the SDN controller via a well defined API. While traditional methods to determine the needed be …

Alexander Thomas and Alexis Yelton demonstrate how to use Spark NLP and Apache Spark to standardize semistructured text, illustrated by Indeed's standardization process for rsum content.

The advent of "fake news" has led us to doubt the truth of online media, and advances in machine learning give us an even greater reason to question what we are seeing. Despite the many beneficial applications of this technology, it's also potentially very dangerous. Alex Adam explains how synthetic videos are created and how they can be detected.

This presentation will describe Gradiant's role in the VEO5G R&D project: provide data analytics for networking data in a 5G scenario.Gradiant researchers will share their experience working with the …

The last decade has seen incredible changes in our technology. The advent of big data and powerful new analytic techniques, including machine learning and AI, means that we understand the world in ways that were simply impossible before. The simultaneous explosion of public cloud services has fundamentally changed our expectations of technology: it should be fast, simple, and flexible to use.

Transfer learning has been proven to be a tremendous success in computer visiona result of the ImageNet competition. In the past few months, there have been several breakthroughs in natural language processing with transfer learning, namely ELMo, OpenAI Transformer, and ULMFit. David Low demonstrates how to use transfer learning on an NLP application with SOTA accuracy.