PhD Position in Unconventional AI Accelerator Reliability Enhancement

PhD Position in Unconventional AI Accelerator Reliability EnhancementAt INRIA, we are seeking a highly motivated PhD student to join our research team and contribute to the development of novel AI accelerator architectures.About the ProjectThe goal of this PhD project is to investigate the reliability of unconventional AI accelerators, specifically those...

PhD Position in Unconventional AI Accelerator Reliability EnhancementAt INRIA, we are seeking a highly motivated PhD student to join our team and contribute to the development of innovative AI acceleration techniques.About the ProjectThe goal of this PhD project is to investigate the reliability of unconventional AI accelerators, specifically those based on...

Job DescriptionPhD Position in Reliability Enhancement of Unconventional AI AcceleratorsInria Rennes - Bretagne Atlantique Centre is seeking a highly motivated PhD student to work on the reliability enhancement of unconventional AI accelerators. The successful candidate will join our research team and contribute to the development of innovative solutions for...

Job DescriptionPhD Position in Reliability Enhancement of Unconventional AI AcceleratorsInria Rennes - Bretagne Atlantique Centre is seeking a highly motivated PhD student to work on the reliability enhancement of unconventional AI accelerators. The successful candidate will be part of a research team focused on developing innovative solutions for AI...

Job Title: PhD Position F/M Reliability Enhancement of Unconventional AI AcceleratorsAbout the Job:Inria Rennes - Bretagne Atlantique Centre is seeking a highly motivated PhD student to work on the reliability enhancement of unconventional AI accelerators. The successful candidate will be part of a research team focused on developing innovative solutions for...

Job DescriptionAt INRIA, we are seeking a highly motivated PhD student to join our team and contribute to the development of reliable AI accelerators.Project OverviewThe goal of this PhD project is to investigate the reliability of unconventional AI accelerators, specifically those based on PIM (Processing-In-Memory) and neuromorphic computing architectures....

Job DescriptionAt INRIA, we are seeking a highly motivated PhD student to join our team and contribute to the development of reliable AI accelerators.Project OverviewThe goal of this PhD project is to investigate the reliability of unconventional AI accelerators, specifically those based on PIM (Processing-In-Memory) and neuromorphic computing architectures....

Job DescriptionINRIA is seeking a highly motivated PhD student to join our team and contribute to the development of reliable and efficient AI accelerators.About the ProjectThe goal of this PhD project is to investigate the reliability of unconventional AI accelerators and propose novel fault mitigation techniques. The project will involve a combination of...

Job DescriptionAt INRIA, we are seeking a highly motivated PhD student to join our team and contribute to the development of reliable and efficient AI accelerators.Project OverviewThe goal of this PhD project is to investigate the reliability of unconventional AI accelerators, such as PIM-based accelerators, and to propose fault mitigation techniques to...

Job Description:We are seeking a highly motivated PhD student to join our team at INRIA Rennes - Bretagne Atlantique Centre. The successful candidate will work on the reliability enhancement of unconventional AI accelerators, focusing on PIM-based architectures.Key Responsibilities:Characterize the radiation-induced impact on system reliability for different...

Job Description:We are seeking a highly motivated PhD student to join our team at INRIA Rennes - Bretagne Atlantique Centre. The successful candidate will work on the reliability enhancement of unconventional AI accelerators, focusing on the identification of hardware and software vulnerabilities in PIM accelerators for DNNs and proposing fault mitigation...

Job DescriptionINRIA is seeking a highly motivated PhD student to work on the reliability enhancement of unconventional AI accelerators. The successful candidate will be part of a research team focused on developing innovative solutions for AI applications.Key ResponsibilitiesCharacterize the radiation-induced impact on system reliability for different DNN...

About the PositionWe are seeking a highly motivated PhD student to join our research team at INRIA, focusing on the reliability enhancement of unconventional AI accelerators.Research ObjectivesThe successful candidate will contribute to the development of novel fault mitigation techniques for PIM accelerators, with a focus on DNNs. The research will involve...

Context and ObjectivesDeep Neural Networks (DNNs) are widely used in machine learning applications, but they are prone to hardware faults that can impact their accuracy and reliability. This PhD position aims to design and develop an optimized algorithm-level fault injection framework to assess the resiliency of DNN hardware accelerators to hardware faults,...

Job DescriptionResearch ContextINRIA is seeking a highly motivated PhD student to work on a research project focused on designing and developing optimized algorithms for fault-tolerant deep neural network hardware accelerators. The goal of this project is to improve the reliability of AI hardware platforms, particularly in safety-critical applications such...

Context and ObjectivesDeep Neural Networks (DNNs) are widely used in machine learning applications, but they are prone to hardware faults that can impact their accuracy and reliability. The goal of this PhD thesis is to design and develop an optimized algorithm-level fault injection framework to assess the resiliency of DNN hardware accelerators to hardware...

Context and BackgroundDeep Neural Networks (DNNs) are widely used predictive models in machine learning, offering excellent results for complex tasks and applications. However, their energy-hungry data movement, computation speed, and memory resources require custom Artificial Intelligence (AI) hardware accelerators to realize their full potential. The...

Context and benefits of the positionThe successful candidate will be part of a research team focused on designing and developing reliable hardware accelerators for deep neural networks. The goal of this PhD project is to investigate the impact of hardware faults on the accuracy of DNNs and to propose novel fault-tolerant architectures.Key...

Context and ObjectivesDeep Neural Networks (DNNs) are widely used predictive models in machine learning, offering excellent results for complex tasks and applications. However, their energy-hungry data movement, computation speed, and memory resources require custom Artificial Intelligence (AI) hardware accelerators. To address data confidentiality issues...

Context and ObjectivesDeep Neural Networks (DNNs) have become a crucial component in various applications, including object recognition, natural language processing, and robotics. However, DNNs are prone to hardware faults, which can lead to operational failures and detrimental effects on the application. Ensuring the reliability of DNN hardware accelerators...