[ad_1] Introduction Spin-orbit torque oscillators have recently emerged as promising candidates for neuromorphic computing due to their low power consumption, high-speed operation, and non-volatility. This thesis investigates the potential of spin-orbit torque oscillators in neuromorphic…
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[ad_1] Introduction Neuromorphic auditory feature extraction is a rapidly growing field that focuses on mimicking the human auditory system to extract features from sound signals. This approach leverages the power of neural networks to process…
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[ad_1] Introduction Quantum-inspired gravitational search algorithms (QGSA) are a class of optimization algorithms that are inspired by both quantum computing principles and the gravitational search algorithm. These algorithms have gained popularity in recent years due…
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[ad_1] Introduction Recent advancements in artificial intelligence and machine learning have shown great promise in solving complex problems across various domains. One of the key areas of interest in this field is reinforcement learning, which…
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[ad_1] Introduction In recent years, there has been a growing interest in the study of spin-wave magnonic crystals due to their potential applications in spintronics and magnonics devices. Spin-wave magnonic crystals are periodic arrays of…
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[ad_1] Introduction Quantum-dot microlasers have emerged as a promising technology for on-chip communications due to their small size, low power consumption, and high performance. These lasers, which are based on quantum dots as the gain…
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[ad_1] Introduction Neuromorphic olfactory systems have gained significant interest in recent years due to their potential applications in chemical sensing. These systems are inspired by the biological olfactory system, which is capable of detecting and…
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[ad_1] Introduction Diabetes is a chronic metabolic disorder characterized by high levels of blood glucose, also known as hyperglycemia. It affects millions of people worldwide and is associated with serious complications such as heart disease,…
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[ad_1] Introduction: Spin Hall effect-based logic gates are a promising area of research in the field of spintronics, which utilizes the spin of electrons to carry and manipulate information. Spin Hall effect-based logic gates have…
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[ad_1] Introduction: Photonic neuromorphic signal processing has emerged as a promising technology for a wide range of applications, including RF signal processing. By leveraging the unique properties of both photonics and neuromorphic computing, this technology…
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