Goal of Ensuring Ultimate Microchips Reliability
GBT Technologies Inc., a company specializing in the development of Internet of Things (IoT) and Artificial Intelligence (AI) enabled networking and tracking technologies, including its GopherInsight™ wireless mesh network technology platform and its Avant! AI, for both mobile and fixed solutions, announced that it is implementing its Avant! AI technology within Epsilon EDA (Electronic Design Automation) program with the goal of achieving increased reliability for microchips.
Avant! AI will be trained with IC (Integrated Circuit) reliability models, based on physics-of-failure mechanisms. These models will be classified for a wide variety of microchips types, among them microcontrollers, microprocessors, memories, power ICs and others. The system will read the microchip’s specifications and define reliability analysis to be automatically tested by Epsilon. As the design moves forward and a more physical layout is produced, the system will adapt to identify weak spots, predicting potential reliability failures due to physics phenomena like Negative Bias Temperature Instability (NBTI), Electromigration (EM), Hot Carrier Injection (HCI) and Time Dependent Dielectric Breakdown (TDDB). The system is targeting a chip’s reliability prediction to be addressed during early design stages, making correction easier. It is the goal that Epsilon will be able to provide a wide range of reliability predictions, ensuring reliable operation and efficient power consumption. Epsilon will predict, test and validate signals at risk. When potential failures are identified, Epsilon will perform an Auto-Correct to resolve the issue. It is the goal of Epsilon to ensure that microchips will not overheat and fail due to excessive power consumption or faulty design. GBT believes that its reliability predictions, early addressing and auto-correction will become a key player when designing modern chips, especially for high reliability demand fields like military, aviation/space and medicine.
“We identified the EDA field, a modern domain used to design integrated circuits (ICs), that we believe can significantly benefit from our AI technology,” stated Danny Rittman, GBT’s CTO. “One of the major problems with our today’s advanced chips, is their reliability. If a chip is not going through accurate electrical design for reliability, it can overheat, perform poorly or fail. We are now focused on enabling our analysis and auto-correction program, Epsilon, with the capability of predicting potential inner-chip nets that may overheat, cause poor performance or failure over time. Using our Avant! AI deep learning technology within Epsilon, the program will constantly monitor the chip’s design as it evolves, alerting about potential risks. Furthermore, by user permission, Epsilon will be able to perform Auto-Correction for the at-risk signals, creating a Correct-By-Construction chip design environment. Avant! will perform an over-time analysis prediction to indicate how long failure(s) may take for critical nets. This will enable IC design houses to work more efficiently with customer budgets, knowing a chip’s life span. Using Avant! AI for the IC reliability domain will ensure high reliability and performance ICs which are particularly crucial for areas like aviation, space exploration, military and medicine, where human lives depend on integrated circuits operation.”
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