Results 171 to 180 of about 35,691 (191)
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SA-BNN: State-Aware Binary Neural Network
Proceedings of the AAAI Conference on Artificial Intelligence, 2021Binary Neural Networks (BNNs) have received significant attention due to the memory and computation efficiency recently. However, the considerable accuracy gap between BNNs and their full-precision counterparts hinders BNNs to be deployed to resource-constrained platforms.
Chunlei Liu +5 more
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Journal of Catalysis, 2021
Abstract Porous hexagonal boron nitride nanosheets (p-BNNS) have demonstrated advantages in hydrogen storage, water purification and catalyst support. Boron nitride (BN) is generally considered chemically inert, but functionalized h-BN by physical or chemical methods breed new properties and applications and can catalyze some reactions. Herein, we
Qiong Lu +7 more
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Abstract Porous hexagonal boron nitride nanosheets (p-BNNS) have demonstrated advantages in hydrogen storage, water purification and catalyst support. Boron nitride (BN) is generally considered chemically inert, but functionalized h-BN by physical or chemical methods breed new properties and applications and can catalyze some reactions. Herein, we
Qiong Lu +7 more
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Strategic Partnership Looks to Drive BNNs
New Electronics, 2020XMOS AND PLUMERAI PARTNER TO ACCELERATE BINARISED NEURAL NETWORKS.
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EFEKTIVITAS KAMPANYE KREATIF BNN MELALUI GARUT COLOUR RUN
Jurnal Komunikasi Universitas Garut: Hasil Pemikiran dan Penelitian, 2022Abstrak Penelitian ini dilatarbelakangi oleh tingginya kasus penyalahgunaan narkoba di kalangan remaja. Untuk mencegah semakin meningkatnya angka prevalansi penyalahgunaan Narkoba pada generasi muda, BNN Garut melakukan rangkaian sosialisasi gerakan anti narkoba dengan menyelenggarakan Garut Colour Run.
Raden Ismira Febrina, Chotijah Fanaqi
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FPGA Architecture Enhancements for Efficient BNN Implementation
2018 International Conference on Field-Programmable Technology (FPT), 2018Binarized neural networks (BNNs) are ultra-reduced precision neural networks, having weights and activations restricted to single-bit values. BNN computations operate on bitwise data, making them particularly amenable to hardware implementation. In this paper, we first analyze BNN implementations on contemporary commercial 20nm FPGAs.
Jin Hee Kim +2 more
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Journal of Materials Science: Materials in Electronics, 2018
It is still challenging in obtaining an insulation material with high thermal conductivity and excellent mechanical properties, while suppressing the distribution of space charges. In this article, exfoliated hexagonal boron nitride nanosheets (BNNS) were introduced into low-density polyethylene (LDPE) to optimize the electrical, thermal and mechanical
Jialong Li +9 more
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It is still challenging in obtaining an insulation material with high thermal conductivity and excellent mechanical properties, while suppressing the distribution of space charges. In this article, exfoliated hexagonal boron nitride nanosheets (BNNS) were introduced into low-density polyethylene (LDPE) to optimize the electrical, thermal and mechanical
Jialong Li +9 more
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Kajian Infografis Poster Bahaya Narkoba BNN
Magenta | Official Journal STMK Trisakti, 2017Information becomes very important for the society. Each day they are faced with a variety and variations of form of information. Starting from the information in the field of academics, marketing, editorial and so forth. The need for effective information sharing with an attractive view makes a presentation of information appear.
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Yb3+-doped Ba2NaNb5O15 (BNN) growth, characterization and spectroscopy
Optical Materials, 2001Abstract Low-temperature spectroscopy of host barium sodium niobate – Ba 2 NaNb 5 O 15 (BNN) crystal fibers doped with Yb 3+ ion has been studied. The fibers were grown by the laser-heated pedestal growth (LHPG) technique, and were characterized among others by X-ray diffraction, micro-Raman spectroscopy, X-ray fluorescence and optical microscopy ...
F.Carrillo Romo +7 more
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Cosolvents as Liquid Surfactants for Boron Nitride Nanosheet (BNNS) Dispersions
Langmuir, 2016Despite a range of promising applications, liquid-phase exfoliation of boron nitride nanosheets (BNNSs) is limited, both by low yield in common solvents as well as the disadvantages of using dissolved surfactants. One recently reported approach is the use of cosolvent systems to increase the as-obtained concentration of BNNS; the role of these solvents
Touseef, Habib +6 more
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BNN Training Algorithm with Ternary Gradients and BNN based on MRAM Array
TENCON 2023 - 2023 IEEE Region 10 Conference (TENCON), 2023Yuya Fujiwara, Takayuki Kawahara
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