Automotive

When you spot one driving hazard, you may be missing another

When people notice one traffic hazard, they are less likely to see a simultaneous second hazard, according to new research from North Carolina State University. The finding has potential applications for both driver training ...

Machine Learning & AI

A hierarchical RNN-based model to predict scene graphs for images

Researchers at Shanghai University have recently developed a new approach based on recurrent neural networks (RNNs) to predict scene graphs from images. Their approach includes a model made up of two attention-based RNNs, ...

Engineering

New digital-camera-based system can 'see' around corners

What if your car possessed technology that warned you not only about objects in clear view of your vehicle—the way that cameras, radar, and laser can do now in many standard and autonomous vehicles—but also warned you ...

Computer Sciences

Deep-learning algorithm creates videos of the future

Living in a dynamic physical world, it's easy to forget how effortlessly we understand our surroundings. With minimal thought, we can figure out how scenes change and objects interact.