[ad_1] Introduction The rapid growth of artificial intelligence (AI) applications in recent years has led to an increasing demand for more efficient computing systems. Traditional von Neumann architectures are facing limitations in terms of data…
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[ad_1] Introduction Micro electro mechanical systems (MEMS) have become increasingly important in various fields such as sensing, actuation, and communication due to their small size, low power consumption, and high performance. However, MEMS devices are…
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[ad_1] Introduction In recent years, the demand for higher data transfer rates in data centers has increased significantly due to the growing use of applications that require large bandwidth, such as video streaming, cloud computing,…
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[ad_1] Introduction Neuromorphic vestibular sensing is a cutting-edge technology that mimics the biological sensory system found in animals, particularly in the vestibular system of the inner ear. This technology has gained significant interest in recent…
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[ad_1] Introduction: Quantum-inspired firefly algorithms have emerged as a promising computational technique for optimization problems in recent years. Inspired by the natural behavior of fireflies, these algorithms mimic the synchronous flashing of fireflies to search…
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[ad_1] Introduction In recent years, Optical Frequency Combs (OFCs) have emerged as a powerful tool for precision spectroscopy in astronomical applications. OFCs provide a highly stable and accurate frequency reference that can be used to…
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[ad_1] Introduction: With the increasing demand for high-speed and low-power analog signal processing in various applications such as neural networks, signal processing, and communication systems, there is a growing need for efficient analog multiplier circuits.…
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[ad_1] Introduction Terahertz (THz) metamaterial biosensors have gained significant attention in recent years due to their potential applications in biomedical and pharmaceutical fields. These sensors offer unique advantages such as high sensitivity, label-free detection, and…
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[ad_1] Introduction Memristor-based neuromorphic learning has emerged as a promising approach for adaptive control in recent years. This technology combines the principles of memristors, which are non-linear passive devices that can remember and change their…
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[ad_1] Introduction Acoustic meta-surfaces have gained significant attention in recent years for their potential applications in various fields such as ultrasonic imaging. These surfaces are engineered to manipulate sound waves in ways that are not…
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