Solving ordinary and partial differential equations using an analog computing system based on ultrasonic metasurfaces [PDF]
Wave-based analog computing has recently emerged as a promising computing paradigm due to its potential for high computational efficiency and minimal crosstalk.
Robert Frederik Uy, Viet Phuong Bui
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Parallel wave-based analog computing using metagratings [PDF]
Wave-based signal processing has witnessed a significant expansion of interest in a variety of science and engineering disciplines, as it provides new opportunities for achieving high-speed and low-power operations.
Rajabalipanah Hamid +4 more
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A metalens-based analog computing system for ultrasonic Fourier transform calculations [PDF]
Wave-based analog computing is a new computing paradigm heralded as a potentially superior alternative to existing digital computers. Currently, there are optical and low-frequency acoustic analog Fourier transformers.
Robert Frederik Uy, Viet Phuong Bui
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Spatial‐Wavelength Multiplexing Error‐Controlled Photonic Analog Computing System [PDF]
In the “post‐Moore era,” the growing challenges in traditional digital computing have driven renewed interest in analog computing. Photonic analog computing has emerged as an effective paradigm for overcoming the fundamental bottlenecks that constrain ...
Tao Zhu +15 more
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Inverse-designed gyrotropic scatterers for non-reciprocal analog computing [PDF]
While conventional von Neumann based machines are increasingly challenged by modern day requirements, electromagnetic analog computing devices promise to provide a platform that is highly parallel, efficient and fast.
Hadjiantoni Nikolas +4 more
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In-memory analog computing for non-negative matrix factorization [PDF]
Non-negative matrix factorization (NMF) is a powerful technique for extracting latent structures from high-dimensional data, with applications spanning recommender systems, bioinformatics, and image processing.
Shiqing Wang +6 more
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Hyperdimensional in-memory computing with analogue memristive crossbar arrays [PDF]
Deploying large-scale artificial intelligence models for language processing on edge devices is limited by constraints in computational capacity and energy efficiency.
Yi Huang +6 more
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Reprogrammable metamaterial robot with embodied versatile computation and mechanical intelligence [PDF]
Due to the flexible and robust features, recent advances emerging from computing intelligence in mechanical systems have led to many innovative techniques from signal processing to robotics.
Wu Zhou, Yi-Ze Wang
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Using analog computers in today's largest computational challenges [PDF]
Analog computers can be revived as a feasible technology platform for low precision, energy efficient and fast computing. We justify this statement by measuring the performance of a modern analog computer and comparing it with that of traditional digital
S. Köppel +4 more
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Time Domain Analog Neuromorphic Engine Based on High-Density Non-Volatile Memory in Single-Poly CMOS
Increasing the energy efficiency of deep learning systems is critical for improving the cognitive capability of edge devices, often battery operated, as well as for data centers, constrained by the total power envelope.
Tommaso Rizzo +2 more
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