In this prospective poster presentation, an overview is given of the family of generalized artificial memory structures designed to accommodate and use knowledge of an extra-large domain of complex (off-nominal) flight situations - corner cases with multiple risks. These structures are considered as a carrier of the situational (tactical) level knowledge base of an anthropomorphic artificial intelligence (AI) system aimed at flight safety prediction and protection for next-generation manned and unmanned aircraft and robotic swarms
This paper presents the development of a biologically inspired generalized conceptual framework for ...
Although the National Airspace System is one of the safest and most efficient transportation infrast...
The coexistence of multiple disciplinary perspectives on the same class of critical applications (ae...
Artificial intelligence, and its companion deep learning, are extensions of expert systems. These c...
A classification of the global catastrophic risks of AI is presented, along with a comprehensive list...
Evaluation of the effectiveness of the technology is a strong and stable factor of success which res...
This paper aims at describing safety architectures of autonomous systems by using Event-B formal met...
Unmanned aircraft systems promise to be useful for a multitude of applications such as cargo transpo...
This paper presents the integration of an intelligent decision support model (IDSM) with a cognitive...
– This article describes a mitigation strategy against the risks potentially caused by RPAS capable ...
This article describes a mitigation strategy against the risks potentially caused by RPAS capable of...
UAS(Unmanned Aerial Systems) mishaps are high, and their pilots face many control challenges. The r...
Developing safety-critical AI-based systems is an emerging challenge in aviation. Amongst others, th...
Background. The object of the study is to ensure the safety of the flight of unmanned aircraft as pa...
In the aeronautics industrial context, the issues related to the safety constitute a highly differen...
This paper presents the development of a biologically inspired generalized conceptual framework for ...
Although the National Airspace System is one of the safest and most efficient transportation infrast...
The coexistence of multiple disciplinary perspectives on the same class of critical applications (ae...
Artificial intelligence, and its companion deep learning, are extensions of expert systems. These c...
A classification of the global catastrophic risks of AI is presented, along with a comprehensive list...
Evaluation of the effectiveness of the technology is a strong and stable factor of success which res...
This paper aims at describing safety architectures of autonomous systems by using Event-B formal met...
Unmanned aircraft systems promise to be useful for a multitude of applications such as cargo transpo...
This paper presents the integration of an intelligent decision support model (IDSM) with a cognitive...
– This article describes a mitigation strategy against the risks potentially caused by RPAS capable ...
This article describes a mitigation strategy against the risks potentially caused by RPAS capable of...
UAS(Unmanned Aerial Systems) mishaps are high, and their pilots face many control challenges. The r...
Developing safety-critical AI-based systems is an emerging challenge in aviation. Amongst others, th...
Background. The object of the study is to ensure the safety of the flight of unmanned aircraft as pa...
In the aeronautics industrial context, the issues related to the safety constitute a highly differen...
This paper presents the development of a biologically inspired generalized conceptual framework for ...
Although the National Airspace System is one of the safest and most efficient transportation infrast...
The coexistence of multiple disciplinary perspectives on the same class of critical applications (ae...