Results 171 to 180 of about 1,029,823 (374)

Indivisibility of Heegner points and arithmetic applications [PDF]

open access: green, 2018
Ashay Burungale   +2 more
openalex   +1 more source

Arithmetical paraphrases [PDF]

open access: yesTransactions of the American Mathematical Society, 1921
openaire   +1 more source

Accelerating Pinned Insect Specimen Digitization: A Deep Learning Pipeline for Future Collaborative Robots

open access: yesAdvanced Intelligent Systems, EarlyView.
The study presents a prototype novel workflow that utilizes artificial intelligence for the digitization of natural history collections, which would fit within a robotic‐integrated system. The work focuses on a collaborative‐robot (cobot) inspired workflow to digitize one of the largest collections housed at the Natural History Museum UK: pinned ...
Naifeng Zhang   +4 more
wiley   +1 more source

Selective Update for Hardware‐Friendly On‐Chip Training in Distributed Analog In‐Memory Computing Systems

open access: yesAdvanced Intelligent Systems, EarlyView.
This study proposes a hardware‐efficient training methodology for crossbar arrays mapped with convolutional kernels in distributed computing systems. The approach is robust to variations in analog devices, minimizes disturbances during parallel writing operations, reduces stress on hardware, and accelerates the training process.
Jaehyeon Kang   +3 more
wiley   +1 more source

Geometric-arithmetic averaging of dyadic weights [PDF]

open access: green, 2010
Jill Pipher, Lesley A. Ward, Xiao Xiao
openalex   +1 more source

Kolmogorov–Arnold Network for Transistor Compact Modeling

open access: yesAdvanced Intelligent Systems, EarlyView.
This work introduces Kolmogorov–Arnold network (KAN) for the transistor—an architecture that integrates interpretability with high precision in physics‐based function modeling. The results reveal that despite achieving superior prediction accuracy for critical figures of merit, KAN demonstrates unique inherent challenges for transistor modeling ...
Rodion Novkin, Hussam Amrouch
wiley   +1 more source

Memory‐Reduced Convolutional Neural Network for Fast Phase Hologram Generation

open access: yesAdvanced Intelligent Systems, EarlyView.
This article reports a lightweight convolutional neural network framework using INT8 quantization to efficiently generate 3D computer‐generated holograms from a single 2D image. The quantized model reduces memory usage and computational cost, accelerates inference speed, and maintains high output quality, enabling real‐time holographic display on low ...
Chenliang Chang   +6 more
wiley   +1 more source

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