Over the past decade, a massive proliferation of machine learning algorithms has emerged,
from applications for surveillance to self-driving cars. The turning point occurred with the …

This paper proposes a Design Space Exploration for Edge machine learning through the
utilization of the novel MathWorks FPGA Deep Learning Processor IP, featured in the HDL …

In recent years, the field of Deep Learning has seen many disruptive and impactful
advancements. Given the increasing complexity of deep neural networks, the need for …

Abstract Human Activity Recognition (HAR) is an important area of research due to its
applications in health monitoring, elderly care, and personal fitness tracking. The challenge …

The purpose of this mechanism is to enhance the chip's internal connections and read/write
memory capabilities. The Advanced Microcontroller Bus Architecture (AMBA) is one such …

Artificial intelligence (AI) has exploded in popularity over the past decade, and its
computational demand has seen commensurate increase. AI models are getting larger, and …

Machine Learning (ML) has proven to be highly effective in solving complex tasks such as
human activity and speech recognition. However, the introduction of accuracy-driven ML …

The path to a PhD is mired with taxing twists and turns, and, more than the research, it was
the people around me that kept me going. I owe deep thanks to many, but in this brief …

Hardware accelerator is a specialized hardware component created to carry out particular
tasks faster than a general-purpose CPU. Its goal is to expedite particular computations or …