Autonomous Computing and the Knowledge Economy within Complex Systems
Systems today continue to struggle with satisfying the need to obtain actionable knowledge from an ever increasing and inherently duplicative store of multi-disciplinary information content. Additionally, increased automation is the norm and truly autonomous systems are the growing future for atomic/subatomic exploration and within challenging environments unfriendly to the physical human condition. Simultaneously, the size, speed, and complexity of systems continue to increase rapidly to improve timely generation of actionable knowledge. However, development of valuable readily consumable knowledge density and context quality continues to improve more slowly and incrementally. New concepts, mechanisms, and implements are required to facilitate the development and competency of complex systems to be capable of autonomous operation, self- healing, and thus critical management of their knowledge economy and higher fidelity self-awareness of their real-time internal and external operational environments.
Chairs
- Dr. John N. Carbone, Raytheon
- Dr. James A. Crowder, Raytheon
Topics
- Cognitive Computing
- DNA Computing
- Autonomous Computing
- Data Mining, Sensing
- Data Fusion
- Translation and Linguistics.