Surprisingly, the MXNet Machine Learning project was this month accepted by the Apache Software Foundation as an open-source project.
What's surprising about the announcement isn't so much that the ASF is accepting this face in the crowd to its ranks – it's hard to turn around in the software world these days without tripping over ML tools – but rather that MXNet developers, most of whom are from Amazon, believe ASF is relevant.
During the past decade, enterprises have begun using machine learning (ML) to collect and analyze large amounts of data to obtain a competitive advantage. Now some are looking to go even deeper – using a subset of machine learning techniques called deep learning (DL), they are seeking to delve into the more esoteric properties hidden in the data. The goal is to create predictive applications for such areas as fraud detection, demand forecasting, click prediction, and other data-intensive analyses.
Machine learning has become a buzzword. A branch of Artificial Intelligence, it adds marketing sparkle to everything from intrusion detection tools to business analytics. What is it, exactly, and how can you code it?
Dropbox has released the code for the chatbot it uses to question employees about interactions with corporate systems, in the hope that it can help other organizations automate security processes and improve employee awareness of security concerns.
"One of the hardest, most time-consuming parts of security monitoring is manually reaching out to employees to confirm their actions," said Alex Bertsch, formerly a Dropbox intern and now a teaching assistant at Brown University, in a blog post. "Despite already spending a significant amount of time on reach-outs, there were still alerts that we didn't have time to follow up on."
We’re very happy to reveal that Red Hat’s Jen Krieger will be delivering a keynote at Continuous Lifecycle London, our three-day DevOps, Agile, CD and Containers conference this May.
Jen is chief agile architect at Red Hat, where she leads a department-wide DevOps movement focusing on CI/CD best practices. She has worked with the Project Atomic and OpenShift teams, and is currently guiding teams across the company into agility in a way that respects and supports its commitment to Open Source.
Alpine Linux, a security-focused lightweight distribution of the platform, may get its own Java port. Alpine is popular with the Docker container developers, so a Java port could pave the way to making Java containers very small.
A proposal floated this week on an OpenJDK mailing list calls for porting the JDK (Java Development Kit), including the Java Runtime Environment, Java compiler and APIs, to both the distribution and the musl C standard library, which is supported by Alpine Linux. The key focus here is musl; Java has previously been ported to the standard glibc library, which you can install in Alpine, but the standard Alpine release switched two years ago to musl because it’s much faster and more compact