Mitchell Clay
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Research Areas
Biography and Research Information
OverviewAI-generated summary
Mitchell Clay researches artificial intelligence (AI) and its applications, particularly in deep learning and edge computing. His work focuses on developing and evaluating AI hardware, including microcontrollers, for efficient deep learning tasks. Clay has investigated methods for optimizing neural network architectures for deployment on resource-constrained edge devices, a field known as hardware-aware neural architecture search (NAS). His recent publications include a benchmarking study of the MAX78000 AI microcontroller for deep learning and an exploration of NAS evolution on the edge. Clay's research contributes to the advancement of AI capabilities in embedded systems and real-time applications.
Metrics
- h-index: 1
- Publications: 2
- Citations: 9
Selected Publications
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Evolution of hardware-aware neural architecture search (NAS) on the edge (2023)
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Benchmarking the MAX78000 artificial intelligence microcontroller for deep learning applications (2022)
Collaboration Network
Top Collaborators
- Benchmarking the MAX78000 artificial intelligence microcontroller for deep learning applications
- Evolution of hardware-aware neural architecture search (NAS) on the edge
- Benchmarking the MAX78000 artificial intelligence microcontroller for deep learning applications
- Evolution of hardware-aware neural architecture search (NAS) on the edge
- Benchmarking the MAX78000 artificial intelligence microcontroller for deep learning applications
- Evolution of hardware-aware neural architecture search (NAS) on the edge
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