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  1. Engineering with intelligent systems can include building nanoscale medical devices, autonomous cars, and smart homes, designing specialized software and high-performance computer systems, and more. Engineers must work in dynamic environments with colleagues from other disciplines.

  2. Authors: Crina Grosan, Ajith Abraham. Covering all recent topics in the area of computational Intelligence in a well structured way. The state of the art of intelligent systems useable for researchers and graduate students. Written by leading experts in this field. Part of the book series: Intelligent Systems Reference Library (ISRL, volume 17)

  3. Intelligent Systems Engineering is about shifting mindsets on how to approach development capabilities. One example: digital twins and virtual mission testbeds that, together, expand and enhance our customers’ analytical capabilities for exploring and trading requirements, creating solution spaces, or testing for resilience.

  4. Aug 31, 2020 · The concept of intelligent system has emerged in information technology as a type of system derived from successful applications of artificial intelligence. The goal of this paper is to give a general description of an intelligent system, which integrates previous approaches and takes into account recent advances in artificial intelligence. The paper describes an intelligent system in a ...

  5. Jan 9, 2024 · The NASA Ames Intelligent Systems Division provides leadership in information technologies by conducting mission-driven, user-centric research and development in computational sciences for NASA applications. We develop ground and flight software systems and data architectures for data mining, analysis, integration, and management; integrated ...

  6. Nov 7, 2023 · Expert Systems are interactive, trustworthy computer-based decision-making tools that utilize data and heuristics to address challenging decision-making issues. It is regarded as representing the pinnacle of human knowledge and wisdom. An expert system's job is to resolve the trickiest problems in a specific field.

  7. Engineering Intelligent Systems. Exploring the three key disciplines of intelligent systems. As artificial intelligence (AI) and machine learning technology continue to develop and find new applications, advances in this field have generally been focused on the development of isolated software data analysis systems or of control systems for robots and other devices.

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