Traditional approaches to autonomous vehicles (AVs) rely on using millions of miles of driving data in conjunction with even more miles of simulated data as inputs to supervised machine learning ...

We anticipate that students possess a grasp of fundamental mathematical concepts equivalent to those covered in the first year of studies for STEM majors at a US college. Additionally, a familiarity ...

Autonomous systems are playing a significant role in modern society, including self-driving cars and unmanned vehicles. Current and future engineers will be faced with significant challenges in ...

As software becomes an increasingly important differentiator and component of autonomous driving, the term 'end-to-end' has been used to describe a new approach to autonomous driving software.

The DevOps landscape is changing very quickly. As companies in various industries pursue relentless attempts to boost operational performance, strengthen security posture and scale, there are two ...

For the first time, researchers from Idaho National Laboratory, the Grainger College of Engineering at the University of ...

The original version of this story appeared in Quanta Magazine. Driverless cars and planes are no longer the stuff of the future. In the city of San Francisco alone, two taxi companies have ...