Trustworthiness of Integrated Circutis: Model Transformation of Trustworthiness Using Generative AI

Session

Information Systems

Description

Integrated Circuits (ICs, or microelectronic chips) are the most essential part of all electronic products. Advancing semiconductor performance is vital for enabling fast-growing market demands, such as Information and Communication Technologies, including 5G and Internet of Things (IoT), Artificial Intelligence (AI) and Machine Learning (ML), Vehicle Electrification, High-Performance Computing, and Supporting National and International Security Concerns. As advanced ICs are becoming increasingly complex in size, functions and behavior, their design, architecture, and manufacturing equipment and processes are also becoming increasingly complex. An important step in assessing the system designs (including ICs, their production equipment, as well as their manufacturing processes), occurs when executing trustworthiness assessments Trustworthiness assessment is a rather labor-intensive process. Often, assessment sessions take several days involving several senior experts and experienced engineers. Although the list of potential failures and effects can become very long, only a fraction can be analyzed in detail. With the recent developments in Generative AI and data science, the opportunity arises to use these technologies to automate the generation and model transformation of different kinds of trustworthiness assessments and models in IC value chain.

Keywords:

Inetgrated Circuits, Trustowrthines, Value Chain, Generative AI

Proceedings Editor

Edmond Hajrizi

ISBN

978-9951-982-15-3

Location

UBT Kampus, Lipjan

Start Date

25-10-2024 9:00 AM

End Date

27-10-2024 6:00 PM

DOI

10.33107/ubt-ic.2024.300

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Oct 25th, 9:00 AM Oct 27th, 6:00 PM

Trustworthiness of Integrated Circutis: Model Transformation of Trustworthiness Using Generative AI

UBT Kampus, Lipjan

Integrated Circuits (ICs, or microelectronic chips) are the most essential part of all electronic products. Advancing semiconductor performance is vital for enabling fast-growing market demands, such as Information and Communication Technologies, including 5G and Internet of Things (IoT), Artificial Intelligence (AI) and Machine Learning (ML), Vehicle Electrification, High-Performance Computing, and Supporting National and International Security Concerns. As advanced ICs are becoming increasingly complex in size, functions and behavior, their design, architecture, and manufacturing equipment and processes are also becoming increasingly complex. An important step in assessing the system designs (including ICs, their production equipment, as well as their manufacturing processes), occurs when executing trustworthiness assessments Trustworthiness assessment is a rather labor-intensive process. Often, assessment sessions take several days involving several senior experts and experienced engineers. Although the list of potential failures and effects can become very long, only a fraction can be analyzed in detail. With the recent developments in Generative AI and data science, the opportunity arises to use these technologies to automate the generation and model transformation of different kinds of trustworthiness assessments and models in IC value chain.