Machine learning components are enabling advances in self-driving cars, the power grid, and robotic medicine, but what are the implications for safety? Decades of research and practice in safety ...

The chapters of “Machine Learning Methods for Engineering Application Development“ book are organized into five parts Machine Learning Essentials, Applied Machine Learning, Surveillance Systems, ...

In this special guest feature, Misha Govshteyn, Co-Founder and SVP of Products at Alert Logic, offers some practical insights to successfully leverage machine learning to improve web application ...

IBM has just made available to developers an experimental version of Project Intu, a system agnostic platform that allows for the integration of Watson capabilities into various end-user form factors.

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

Why it matters: Google is designing an operating system for embedded applications that runs machine learning algorithms. KataOS' main targets are security and privacy protection, working with open ...

MLDS requires candidates to provide three letters of recommendation. Recommendation letters should be from professional supervisors, academic instructors, and/or research advisors. The ideal balance ...

In this and future posts, I thought it might be useful to provide some real-world applications of machine learning in a trading context. Because machine learning is such a broad topic, I am going to ...