The purpose of the conference is to bring together leading researchers from the adaptive hardware and systems community to exchange experiences and share new ideas in the field. The conference expands the topics addressed by the precursor series of NASA/DoD Conference on Evolvable Hardware, held between 1999 and 2005, with a broader scope. This includes a variety of hardware and system adaptation methods and targeting more industry participation. The NASA/ESA series started with the AHS-2006 conference held in Istanbul, Turkey, and continued annually since at a variety of international venues.

Adaptation reflects the capability of a system to maintain or improve its performance in the context of internal or external changes, such as uncertainty and variation during fabrication, faults and degradation in the field, changes in the operational environment, incidental or intentional interference, different users and preferences, modifications of standards and requirements, or trade-offs between performance requirements and available resources.

We welcome original contributions in the areas of hardware and software adaptation at different system levels, including, but not limited to:
1) Adaptive hardware, e.g.,

Adaptive and reconfigurable computer systems
Adaptive telecommunications

2) Adaptive algorithms, e.g.,

Data and image compression for adaptive systems
Learning and evolutionary algorithms for adaptive hardware

3) Design methodology for adaptive systems, e.g.,

Computer-aided design tools and algorithms for adaptive systems
Performance, cost, power, and reliability strategies

4) Adaptive applications, e.g.,

Software/hardware architectures for unmanned autonomous vehicles
Space applications
Robotics

While the focus of this conference is on communications and space applications, we welcome original contributions in other application areas such as consumer, medical, defence and security, as the techniques employed in these areas can be disseminated across the board. We also welcome papers describing significant applications of adaptive hardware and systems to industrial case studies and demonstrating their capabilities and effectiveness.