Moore's law drove an information revolution that changed the world. But computers will need more than raw performance in the future. Because computers now act as agents for humans, new issues arise that can only be addressed if engineers coordinate with lawyers and businesspeople.

Today's leading technology companies are weaving their ecosystems into our homes and our lives, placing their young AIs at the center of it all.

Europe continues to be among the leaders in developing ground vehicles capable of real-time vision. At Bundeswehr University Munich (UniBwM), researchers are investigating "scout-type" vision for autonomous cars, which--unlike popular systems in use now--does not rely on accurate maps, GPS positioning, or databases of previously observed objects.

It's expected that the cyber-physical systems revolution will be more transformative than the IT revolution of the past four decades.

Many recent technological advances have helped to pave the way forward for fully autonomous vehicles. This special issue explores three aspects of the self-driving car revolution: a historical perspective with a focus on perception for autonomous vehicles, how government policy will impact self-driving cars technically and commercially, and how cloud-based infrastructure plays a role in the future.

Deep learning can enable Internet of Things (IoT) devices to interpret unstructured multimedia data and intelligently react to both user and environmental events but has demanding performance and power requirements. The authors explore two ways to successfully integrate deep learning with low-power IoT products.

Three science fiction prototypes explore AI's potential threats to not only our personal and professional lives but also global security.

And that makes meanings matter even more.

A hybrid learning framework uses a collective anomaly to analyze patterns in denial-of-service attacks along with data clustering to distinguish an attack from normal network traffic. In two evaluation datasets, the framework achieved higher hit rates relative to existing anomaly-detection techniques. Mohiuddin Ahmed, "Thwarting DoS Attacks: A Framework for Detection based on Collective Anomalies and Clustering", Computer, vol.

Rather than continue the expensive and time-consuming quest for transistor replacement, the authors argue that 3D chips coupled with new computer architectures can keep Moore's law on its traditional scaling path.