Results 11 to 20 of about 35,691 (191)
Exploiting Kernel Compression on BNNs
2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2023 Binary Neural Networks (BNNs) are showing tremendous success on realistic image classification tasks. Notably, their accuracy is similar to the state-of-the-art accuracy obtained by full-precision models tailored to edge devices. In this regard, BNNs are very amenable to edge devices since they employ 1-bit to store the inputs and weights, and thus ...
Silfa Feliz, Franyell Antonio +2 more
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ChewBaccaNN: A Flexible 223 TOPS/W BNN Accelerator [PDF]
2021 IEEE International Symposium on Circuits and Systems (ISCAS), 2021 Binary Neural Networks enable smart IoT devices, as they significantly reduce the required memory footprint and computational complexity while retaining a high network performance and flexibility. This paper presents ChewBaccaNN, a 0.7 mm$^2$ sized binary convolutional neural network (CNN) accelerator designed in GlobalFoundries 22 nm technology.
Andri R. +3 more
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Jurnal Aplikasi Manajemen, 2021 This study evaluated the impact of leadership management skills and emotional intelligence on employee performance as a variable mediation through the quality of work life.
Adya Hermawati +4 more
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PresB-Net: parametric binarized neural network with learnable activations and shuffled grouped convolution [PDF]
PeerJ Computer Science, 2022 In this study, we present a novel performance-enhancing binarized neural network model called PresB-Net: Parametric Binarized Neural Network. A binarized neural network (BNN) model can achieve fast output computation with low hardware costs by using ...
Jungwoo Shin, HyunJin Kim
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Realizing Neural Decoder at the Edge With Ensembled BNN [PDF]
IEEE Communications Letters, 2021 In this work, we propose extreme compression techniques like binarization, ternarization for Neural Decoders such as TurboAE. These methods reduce memory and computation by a factor of 64 with a performance better than the quantized (with 1-bit or 2-bits) Neural Decoders.
Devannagari Vikas +2 more
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Analisis Terhadap Kesempatan Rehabilitasi Pecandu Narkotika
Alauddin Law Development Journal, 2022 Pada saat ini Indonesia sedang megalami darurat terkait penyebaran dan penggunaan narotika di kalangan public,berdasarkan hasil penelitian yang di lakukan oleh ( BNN ) Badan Narkotika Nasional yang bekerja sama dengan Pusat ...
Akbar, Syamsuddin Radjab
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Applying the B12N12 nanoparticle as the CO, CO2, H2O and NH3 sensor [PDF]
Chemical Review and Letters, 2018 In this study, the various properties including the stability energies, structural and electronic aspects of the hydrazine (N2H4), carbon monoxide (CO) water (H2O) and ammonia (NH3) molecules adsorptions on the top of the boron nitride nanoparticles (BNn)
Robabeh Rostamoghli +4 more
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Yuanzineng kexue jishu, 2023 Fragment productions in spallation reactions and projectile fragmentation reactions are important topics in nuclear reaction both theoretically and experimentally, which find important applications in fundamental nuclear physics, radioactive ion beam ...
WEI Huiling;PENG Dan;WEI Xiaobao;MA Chunwang
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EVALUASI KEBIJAKAN TELEMEDICINE PSIKIATRI LOKA BNN
Jurnal Kebijakan Publik, 2023 Gangguan penyalahgunaan narkoba menjadi permasalahan yang kompleks, hal ini karena memberi dampak pada fisik, psikis dan sosial. Fenomena sosial yang kerap muncul pengguna narkoba juga mengalami masalah kejiwaan, juga sebaliknya. Pandemi Covid 19 lalu, memberikan efek pada perawatan pasien yang berhubungan dengan kesehatan jiwa.
Utari Dwi Prawtiwi +2 more
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“BNN - BN = ?”: Training Binary Neural Networks without Batch Normalization [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021 Batch normalization (BN) is a key facilitator and considered essential for state-of-the-art binary neural networks (BNN). However, the BN layer is costly to calculate and is typically implemented with non-binary parameters, leaving a hurdle for the efficient implementation of BNN training.
Chen, Tianlong +5 more
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