The security and privacy of users' data have been a growing concern for the past few years. Understanding JWT will give you an edge over the other software engineers.
This article briefs about the impact of spam and how it can be addressed with emerging machine-learning technology based on our journey in this domain.
This presentation from Hilary Mason at devs love bacon in April, titled "Everything You Need to know about Machine Learning in 30 Minutes or Less," is an introduction to machine learning for those who have no prior experience with it. Take a look if you're interested in a quick, fun overview to help you get started: Hilary Mason - Machine Learning for Hackers from BACON: things developers love on Vimeo. Then, if you want to get a bit deeper, check out this intro to machine learning in R, or to get a lot deeper, our Machine Learning Refcard.
NLP for the Insurance domain can benefit from a hybrid ML/Symbolic approach to increase scalability while taking advantage of advanced symbolic reasoning.
Innovative methods are incorporated on gaming techniques to assist autonomous vehicles to steer in this real world, where signals might not be perfect.
As the name suggests, Document Verification is the process of verification and authentication of documents carried out for the enhancement of security.
In this article, we'll discuss what hyper-automation is and what role AI-powered automation is playing to improve product engineering processes for faster delivery.