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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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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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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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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Neuromorphic photonic computing with an electro-optic analog memory [PDF]
In neuromorphic photonic systems, device operations are typically governed by analog signals, necessitating digital-to-analog converters (DAC) and analog-to-digital converters (ADC).
Sean Lam +7 more
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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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Metasurface-Based Optical Analog Computing: From Fundamentals to Applications
With unprecedented growth in data information over the past few decades, it is critically important to seek a faster and more efficient method to simplify data processing.
Dingyu Xu, Shuangchun Wen, Hailu Luo
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SpikoPoniC: A Low-Cost Spiking Neuromorphic Computer for Smart Aquaponics
Aquaponics is an emerging area of agricultural sciences that combines aquaculture and hydroponics in a symbiotic way to enhance crop production. A stable smart aquaponic system requires estimating the fish size in real time.
Ali Siddique +5 more
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