Detecting and classifying social media bots after disasters will reduce the prevalence of scams and improve disaster response.
Developing a way for robots to accurately map and navigate indoors will help them safely move around their environment.
Creating a set of verification and validation practices for autonomous vehicles will ensure their effectiveness and security.
Securing physical multi-robot teams against malicious activity will enhance trust and accelerate adoption of smart systems.
Designing damage-tolerate nanocomposite materials will help secure satellites, nuclear reactors and aircraft.
Developing sophisticated tracking algorithms for drones can aid in tracking moving vehicles of interest.
Using neural networks to speed up automatic hacking detection could make detection cheaper and reduce the number of large security breaches.
Studying robotic group coordination can help cars autonomously avoid collisions.
Exploring nanosheet material reinforcement systems could lead to more resilient structures.
Strengthening deep neural networks against maliciously altered images would improve the security of computer vision technologies.