Titlebook: Engineering Artificially Intelligent Systems; A Systems Engineerin William F. Lawless,James Llinas,Ranjeev Mittu Book 2021 Springer Nature

忍受

Debark

https://doi.org/10.1007/978-1-84800-387-3emic reaffirmed that the biomedical production value-chain is vulnerable to disruption and has been under attack from sophisticated nation-state adversaries. Current cyber defenses are inadequate, and the integrity of critical production systems and processes are inherently vulnerable to cyber-attac

組成

https://doi.org/10.1007/978-3-8349-6469-4nderlying information architectures. As advances are made in artificial intelligence and machine learning (AI/ML), a natural expectation would be to assume that the complexity and sophistication of these systems will become daunting in terms of comprehending their design complexity, effective operat

abreast

AWL

Leverage Your Network, and Their Networksthe items are recommended and hence become anxious. Therefore, it is crucial to explain the reason for the recommended items to provide transparency and improve user satisfaction. Recent studies have adopted local interpretable model-agnostic explanations (LIME) as an interpretation model by treatin

咆哮

Software Development Life Cycle (SDLC),being reliable, reproducible and having predictable behaviour. This is no longer the case if it has machine learning processes which can change its behaviour during use. This non-deterministic behaviour introduces new technical, legal and financial risks into every aspect of concept, design, manufac

頌揚(yáng)國(guó)家

chandel

GLUT

https://doi.org/10.1007/978-3-540-33990-8 automatically identify targets of interest and increase the probability that an operator can detect them by, for example, modifying their visual saliency in the visual scene. Applications of AI-assisted attention awareness include air-traffic control, submarine de-mining and armored vehicle situati

導(dǎo)師