Mitchell Clay Source Confirmed

OverviewAI-generated summary

Mitchell Clay's research focuses on the application of artificial intelligence and machine learning in embedded systems, particularly for deep learning tasks on edge devices. His work investigates methods for optimizing neural network architectures to perform efficiently on hardware with limited resources. Clay has published on benchmarking AI microcontrollers for deep learning and the evolution of hardware-aware neural architecture search for edge computing applications. His scholarly output includes two publications with eight citations, and he has an h-index of 1.

Metrics

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