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Future infrastructures will be adaptive in the sense that they will not only comply with security policies established at the time of deployment, but they will also allow systems to autonomously learn, by example, about acceptable changes in configuration and applications. Policies and trust inferences will be based on distributed similarity estimates within hierarchical... Future infrastructures will be adaptive in the sense that they will not only comply with security policies established at the time of deployment, but they will also allow systems to autonomously learn, by example, about acceptable changes in configuration and applications. Policies and trust inferences will be based on distributed similarity estimates within hierarchical functional groups which are autonomously formed as nodes exchange information about their configuration and state. These self-regulating and self-healing infrastructures will provide the much needed flexibility and robustness to enable system security and information assurance capabilities for future military and... Cybersecurity
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AI is still a comparatively young, and like every young interdisciplinary area it redefines itself as it evolves and as new ideas and insights are revealed and new methods and techniques become available. IHMC researchers James Allen, Kenneth Ford, Clark Glymour, Patrick Hayes, Choh Man Teng, Brent Venable,... AI is still a comparatively young, and like every young interdisciplinary area it redefines itself as it evolves and as new ideas and insights are revealed and new methods and techniques become available. IHMC researchers James Allen, Kenneth Ford, Clark Glymour, Patrick Hayes, Choh Man Teng, Brent Venable, and Yorick Wilks continue to be actively interested in clarifying the philosophical foundations of AI and cognitive science.Re-thinking the aims of AITraditionally, the goal of artificial intelligence was seen as the creation of a ‘human-level’ mechanical intelligence, a kind... Computational & Philosophical Foundations
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Advances in technology have made it ever easier to collect and store data. While the amount of data has increased tremendously, data collection is often opportunistic: There is only limited control over what, when, and how much data is collected, leading to inconsistency and fragmentary and uneven coverage. In addition, the connections one might... Advances in technology have made it ever easier to collect and store data. While the amount of data has increased tremendously, data collection is often opportunistic: There is only limited control over what, when, and how much data is collected, leading to inconsistency and fragmentary and uneven coverage. In addition, the connections one might seek from the data are almost always non-deterministic and uncertain. Traditional statistical and logical analyses are inadequate in many of these situations.IHMC researchers James Allen, Greg Dubbin, Clark Glymour and Choh Man Teng work on a... Knowledge Discovery, Data Science, Learning from Big Data
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Episode 129: Morley Stone talks about biomimetics and human performance augmentation // Oct 14, 2021
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Episode 128: Tommy Wood talks about high-fat diets and the metabolic flexibility of the human gut // Sep 23, 2021
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UWF and IHMC announce inaugural director for Intelligent Systems and Robotics doctoral program
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