Results 151 to 160 of about 177,679 (314)
On The Reduction of Arithmetical Binary Cubics which have a Negative Determinant [PDF]
G. B. Mathews, W. E. H. Berwick
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The systematic design of memristor‐based neural network is provided by analog conductance state parameters to accurately emulate the software‐based high‐resolution weight at discrete device level. The requirement of discrete analog conductance of memristor device is measured as ≈50 states with nonlinearity value of ≈0.142 within the deviation range of ...
Jingon Jang, Yoonseok Song, Sungjun Park
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Energy‐Efficient Online Training with In Situ Parallel Computing on Electrochemical Memory Arrays
By leveraging the intrinsic functionalities of electrochemical random‐access memory, the conductance response to pulse amplitude and quantity enables stochastic multiplication and parallel outer‐product operations between two vectors. This approach significantly accelerates weight gradient computations while reducing time complexity, latency, and ...
Yingming Lu+7 more
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Arithmetical functions associated with arbitrary sets of integers [PDF]
Eckford Cohen
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Dual Neural Network Framework with SPICE Integration for Fast and Accurate Transistor Modeling
Neural network (NN)‐based compact transistor models are often deployed and evaluated standalone due to the lack of compatibility with existing simulation program with integrated circuit emphasis (SPICE) software. Herein, the proposed dual‐NN framework with the best trade‐off between high speed and high accuracy is integrated into commercial SPICE ...
Rodion Novkin, Hussam Amrouch
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Iterates of arithmetic functions and a property of the sequence of primes [PDF]
Harold N. Shapiro
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Energy‐Efficient Knapsack Optimization Using Probabilistic Memristor Crossbars
The knapsack problem, a nondeterministic polynomial‐time (NP)‐hard combinatorial optimization problem, is solved energy‐efficiently. This work presents an algorithm‐hardware co‐design and implementation for practical (non‐ideal) NP‐hard problems with destabilizing self‐feedback (non‐zero diagonal) and non‐binary Hamiltonian representations under analog
Jinzhan Li, Suhas Kumar, Su‐in Yi
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Kronecker and his arithmetical theory of the algebraic equation [PDF]
Henry Fine
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Geometry‐Guided Transformer for Monocular 3D Object Detection
This work proposes a geometry‐guided transformer‐based framework for monocular 3D object detection. By incorporating spatial features and geometry guidance through the advanced transformer structure, the method addresses the limitations of existing methods and improves detection accuracy and convergence speed, achieving SOTA detection performance with ...
Man Zhang+4 more
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