Image processing systems gather and convey information using image sensors enabling a variety of IoT and mobile applications. IoT systems utilize image sensors to perform a multitude of various tasks that are important in all aspects of life such as detecting wildfires in forests, lifesaving medical imaging and reality headsets that use body tracking....

In the realm of natural language processing, large language models (LLMs) have emerged as powerful tools capable of understanding and generating human-like text. In terms of accuracy, LLMs are known to have performance issues, specifically when reasoning tasks are involved. And despite their advancements, LLMs often face challenges when tasked with...

The real-time operation and control of distribution systems has not been significantly automated due to limitation of communication infrastructure, real-time monitoring, and operational scheduling tools. Also, the energy democracy movement is resulting in more and more penetration of energy resources in electric distribution systems. With increasing...

Efficient hardware/software codesigns of deep learning accelerators are crucial for optimizing their performance in various applications, ranging from datacenters to mobile and wearable devices. The existing methods for optimizing deep learning accelerator designs are primarily black-box approaches, which do not consider crucial information about the...

­Wireless sensor network (WSN) is a distributed network consisting of multi-functional sensors, which can communicate with neighboring sensors over wireless channels. Estimating statistics of sensor measurements in WSNs is necessary for detecting anomalous sensors, supporting nodes with insufficient resources, determining network area estimation,...

Distributed wireless sensor networks are an essential part of modern Internet-of-Things (IoT) and sensor fusion systems. In such networks, all the distributed agents have to reach consensus on a value of interest. The spectral radius of the graph is the largest eigenvalue of the adjacency matrix, and is a useful characterization of the network graph....

As technology scales, the number of cores in processors will rapidly increase in order to avoid the power wall. In processors that have hundreds and thousands of cores, traditional memory architectures – in which a coherent memory interface is provided to all the cores in hardware, will not be feasible. The memory management functionality is expected...

Location detection systems employ wireless sensor networks (WSNs) to approximate the physical position of events within an area of interest. WSNs consist of sensor and anchor nodes that are spatially distributed over the area of interest, and are overseen by a fusion center (FC) that collects node information. In applications such as fire or motion...