Photonic innovation: researchers in the US have created an optical metamaterial that can perform vector–matrix multiplication. (Courtesy: iStock/Henrik5000) A new silicon photonics platform that can ...
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RRAM-based analog computing system rapidly solves matrix equations with high precision
Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that ...
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Soft, flexible material performs complex calculations, paves way for smart robots
Soft elastic material uses energy-free floppy modes to perform and reprogram calculations, enabling smarter robots and ...
Optical computing uses photons instead of electrons to perform computations, which can significantly increase the speed and energy efficiency of computations by overcoming the inherent limitations of ...
“Several manufacturers have already started to commercialize near-bank Processing-In-Memory (PIM) architectures. Near-bank PIM architectures place simple cores close to DRAM banks and can yield ...
A novel AI-acceleration paper presents a method to optimize sparse matrix multiplication for machine learning models, particularly focusing on structured sparsity. Structured sparsity involves a ...
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Beyond electronics: Optical system performs feature extraction with unprecedented low latency
Many modern artificial intelligence (AI) applications, such as surgical robotics and real-time financial trading, depend on ...
Sparse matrix computations are prevalent in many scientific and technical applications. In many simulation applications, the solving of the sparse matrix-vector multiplication (SpMV) is critical for ...
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