[ad_1] Introduction The field of terahertz plasmonics has recently gained significant attention due to its potential applications in communication, sensing, imaging, and spectroscopy. Terahertz plasmonic modulators, in particular, have become a topic of interest for…
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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 Optogenetics is a cutting-edge technology that enables precise control of biological processes using light. In recent years, researchers have been exploring the use of optogenetics to manipulate gene expression with high spatial and…
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[ad_1] Introduction The rapid advancement in technology has led to the need for more efficient and faster memory systems. Content-addressable memory (CAM) has emerged as a promising solution to meet these demands. CAM is a…
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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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[ad_1] Introduction Spin-orbit coupling in Weyl semimetals is a fascinating area of research that has garnered significant attention in recent years. Weyl semimetals are a class of materials that exhibit unique properties due to their…
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[ad_1] Introduction Neuromorphic robotic locomotion control is a rapidly evolving field of research that focuses on integrating neuromorphic principles into robotic systems to enable more efficient and adaptive locomotion capabilities. By drawing inspiration from the…
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[ad_1] Introduction In recent years, the development of electromagnetic meta-surfaces has gained significant attention in the field of adaptive camouflage technology. The ability to manipulate electromagnetic waves at a sub-wavelength scale has opened up new…
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[ad_1] Thesis Overview: Introduction: Memristor-based spiking neural networks have gained significant attention in recent years due to their potential for mimicking the behavior of biological neural networks. These networks offer the capability to process temporal…
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[ad_1] Introduction: The field of vision sensors has seen significant advancements in recent years, with the development of Neuromorphic event-driven sensors leading the way in low-power imaging technologies. These sensors are designed to mimic the…
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