Our goal when we do research is to address capabilities and technologies that we expect to become production-ready in one to two years. That focus on fast-moving areas means that new algorithmic ideas sometimes come along that allow our clients to extend or improve upon the work in our reports.

Nah, jet fuel can’t melt steel beams. I’ve watched enough conspiracy documentaries – Camp Cope

Trajectory Data Mining: An Overview

Read Data from JSTOR/DfR (jstor)Functions and helpers to import metadata, ngrams and full-texts delivered by Data for Research by JSTOR.

Crossbar-aware neural network pruning

This post is authored by Wilson Lee, Senior Software Engineer at Microsoft.

Sentiment analysis is a process that allows computer programs to understand if the opinion expressed in text is positive, negative, or neutral. When applied to content published online, both on social and traditional media channels, sentiment analysis can provide important business insights about public opinion and perception towards topics and brands.

Digital processes are disrupting and transforming organizations everywhere. Big Data, Machine Learning, AI, and their applications companion, Machine Intelligence, are the soul of this digital revolution. These applications are probably no more essential anywhere else than in cybersecurity operations.

The big change in every industry – energy included – is the sensoring of the world. We have put sensors on just about everything, and that’s definitely true in the energy sector, whether it’s in electricity, oil and gas, supply chain and manufacturing, or even customer interaction.

Kevin Lewis sends along this article, commenting, “That’s one smokin’ file drawer!”