Mitchell Clay Data-verified

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

Arkansas State University
Last publication 2023 Last refreshed 2026-05-16

grad_student

1 h-index 2 pubs 8 cited

Research Areas

OverviewAI-generated summary

Mitchell Clay is a graduate student whose research investigates the application of artificial intelligence in hardware. His work focuses on benchmarking microcontrollers for deep learning tasks, specifically examining the capabilities of the MAX78000 microcontroller. Clay's research also explores the evolution of neural architecture search (NAS) methods for edge computing environments, aiming to improve the efficiency and performance of AI algorithms on resource-constrained devices. He has published two papers in this area, receiving a total of eight citations. His most recent publication dates to 2023, indicating ongoing activity in his research field.

Metrics

  • h-index: 1
  • Publications: 2
  • Citations: 8

Selected Publications

  • Evolution of hardware-aware neural architecture search (NAS) on the edge (2023)
    1 citation DOI OpenAlex
  • Benchmarking the MAX78000 artificial intelligence microcontroller for deep learning applications (2022)
    7 citations DOI OpenAlex

View all publications on OpenAlex →

Collaboration Network

3 Collaborators 2 Institutions 1 Country

Top Collaborators

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