Results 41 to 50 of about 1,720,417 (290)
On generalized corners and matrix multiplication
CoRR, 2023 Suppose that $S \subseteq [n]^2$ contains no three points of the form $(x,y), (x,y+δ), (x+δ,y')$, where $δ\neq 0$. How big can $S$ be? Trivially, $n \le |S| \le n^2$. Slight improvements on these bounds are obtained from Shkredov's upper bound for the corners problem [Shk06], which shows that $|S| \le O(n^2/(\log \log n)^c)$ for some small $c > 0 ...
openaire +5 more sources
Runtime Adaptive Matrix Multiplication for the SW26010 Many-Core Processor
IEEE Access, 2020 The study of matrix multiplication on the emerging SW26010 processor is highly significant for many scientific and engineering applications. The state-of-the-art work from the swBLAS library, called SWMM, focuses mainly on the infrequent case involving ...
Zheng Wu +4 more
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An Approximate GEMM Unit for Energy-Efficient Object Detection
Sensors, 2021 Edge computing brings artificial intelligence algorithms and graphics processing units closer to data sources, making autonomy and energy-efficient processing vital for their design.
Ratko Pilipović +4 more
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Fully parallel optical matrix-matrix multiplication
, 2023 In recent years, with the rapid development of electro-optic modulators, optical computing has become a potential excellent candidate for various computing tasks.
Zhang, Yufeng, Wang, Kaizhi, Yan, Hao
core +2 more sources
FIELD FORMATION OF CIRCULANT MATRIX
Barekeng, 2020 The axioms of fields satisfy over sets of numbers such as , , and . Generally, a set matrix is not commutative for binary multiplication properties, such that cannot satisfy of field axioms.
Mahfudz Reza Fahlevi
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Digital in-memory stochastic computing architecture for vector-matrix multiplication
Frontiers in Nanotechnology, 2023 The applications of the Artificial Intelligence are currently dominating the technology landscape. Meanwhile, the conventional Von Neumann architectures are struggling with the data-movement bottleneck to meet the ever-increasing performance demands of ...
Shady Agwa, Themis Prodromakis
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FEBS Letters, EarlyView.Cancer progression is regulated by the dynamic matrix code of the tumor microenvironment, which influences cellular behavior and disease development. Importantly, matrix remodeling in three‐dimensional cancer models more accurately reflects in vivo conditions compared to conventional two‐dimensional systems.
Sylvia Mangani +3 more
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CybersecurityMatrix operation is one of the most basic and practical operations in statistical analysis and machine learning. The secure matrix operation over homomorphic encryption technology can protect the confidentiality of input data. However, it has not come up
Yatao Yang +3 more
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An epithelial GPR35 isoform supports tumor‐associated transcriptional and metabolic phenotypes
FEBS Letters, EarlyView.GPR35 generates two functionally distinct isoforms with previously unresolved roles. GPR35‐short mediates immune‐cell chemotaxis, while GPR35‐long is enriched in colorectal cancer epithelium, where it supports increased metabolism, proliferation, and tumor‐associated transcriptional programs.
Jørgen D. Rønneberg +14 more
wiley +1 more source
IEEE Journal on Exploratory Solid-State Computational Devices and CircuitsArtificial intelligence (AI) models are currently driven by a significant upscaling of their complexity, with massive matrix-multiplication workloads representing the major computational bottleneck. In-memory computing (IMC) architectures are proposed to
Shady Agwa +3 more
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