The authors point out that quantum computers are still plagued by high gate error rates, low qubit counts, and extremely slow ...
Researchers from Tsinghua University have developed a groundbreaking optical system for computing that performs feature extraction with unprecedented low latency, which has the potential to ...
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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 map math variables, instead of representing information using abstraction ...
Bio-inspired computational methods have gained popularity recently. These methods mimic the seemingly complex behavior of organisms to tackle difficult and often overwhelming problems. For example, ...
Abstract: This paper investigates sparse matrix-vector (SpMV) multiplication algorithm performance for unstructured sparse matrices. The development of an SpMV multiplication algorithm for this type ...
It’s become a trendy managerial acronym: VUCA, short for volatility, uncertainty, complexity, and ambiguity, and a catchall for “Hey, it’s crazy out there!” It’s also misleading: VUCA conflates four ...
Abstract: DC-link capacitors in rail transit are susceptible to failure under hard working conditions, and it is important to estimate the capacitance for safe operation purpose. However, current ...
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