AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...
Traditional signal processing techniques have achieved much, but they face notable limitations when confronted with complex, high-volume data. Classical methods often rely on manual feature extraction ...
Abstract: Distributed sensing through video, audio, radar and other sensors is strongly growing with application areas such as smart homes and Internet of Things. The concept of edge computing ...
This image shows an artist’s interpretation of new optical processor for an edge device, developed by MIT researchers, that performs machine learning computations at the speed of light, classifying ...
Abstract: High-frequency induction logging is a crucial technique in subsurface exploration, particularly in the oil and gas industry. It involves transmitting electromagnetic signals into the ground ...
ABSTRACT: The integration of theoretical channel modeling with the requirements of real-world railway environments lays the foundation for more reliable wireless communication in high-density ...
VIBE is a speculative research concept exploring the use of ultra-sensitive acoustic sensors and AI/ML to detect cellular mutation events, such as early-stage cancer, based on the minute vibrational ...
College of Computing, Khon Kaen University, Khon Kaen 40002, Thailand Department of Computer Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen 40002, Thailand Department of ...
Artificial intelligence (AI) has transformed the business landscape and changed how we work. Its capability to automate tasks, analyze extensive datasets efficiently and provide concise business ...
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