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Study on Academic Documents -Oriented Automatic Summarization of Short Texts
Traditional automatic text summarization relies heavily on the original text information, and the extensibility is limited. However, generation-style abstractive methods attempt to generate the corresponding summarization by understanding the original semantics. We set out to set up a sequence-to-sequence model for academic document summarization generation. For purpose of reducing the detail loss of input sequence information, we put forward the attention mechanism to assign the weight of each input word. We trained this model on Chinese literature data set. It generated a reliable document summary. Our test shows that the approach has good adaptability to Chinese academic literature and has good performance in text summarization.
Journal Article
BOINC: A Platform for Volunteer Computing
“Volunteer computing” is the use of consumer digital devices for high-throughput scientific computing. It can provide large computing capacity at low cost, but presents challenges due to device heterogeneity, unreliability, and churn. BOINC, a widely-used open-source middleware system for volunteer computing, addresses these challenges. We describe BOINC’s features, architecture, implementation, and algorithms.
Journal Article
The role of data privacy in marketing
This paper captures the current state of privacy scholarship in marketing and related disciplines. We examine theoretical perspectives and empirical findings about data and information privacy grouped according to privacy’s role in society, the psychology of privacy, and the economics of privacy. Although a coherent subset of research themes provide deep understanding, theoretical and empirical findings show this narrow focus also has constrained our view of privacy to consumer, organizational, ethical, or legal silos. In response, we take a necessary step toward expanding the privacy domain across these borders, emphasizing the compelling synergies that span multiple interests. We conclude by highlighting future research themes that embody a multidimensional approach, which blends the many interconnected concerns that feature in contemporary privacy questions in marketing. Since internal and external stakeholders are affected in multiple and potentially unforeseen ways by data privacy issues, additional work in this space remains critical and needed.
Journal Article
Towards spike-based machine intelligence with neuromorphic computing
Guided by brain-like ‘spiking’ computational frameworks, neuromorphic computing—brain-inspired computing for machine intelligence—promises to realize artificial intelligence while reducing the energy requirements of computing platforms. This interdisciplinary field began with the implementation of silicon circuits for biological neural routines, but has evolved to encompass the hardware implementation of algorithms with spike-based encoding and event-driven representations. Here we provide an overview of the developments in neuromorphic computing for both algorithms and hardware and highlight the fundamentals of learning and hardware frameworks. We discuss the main challenges and the future prospects of neuromorphic computing, with emphasis on algorithm–hardware codesign.
The authors review the advantages and future prospects of neuromorphic computing, a multidisciplinary engineering concept for energy-efficient artificial intelligence with brain-inspired functionality.
Journal Article
Parallel programming of an ionic floating-gate memory array for scalable neuromorphic computing
Neuromorphic computers could overcome efficiency bottlenecks inherent to conventional computing through parallel programming and readout of artificial neural network weights in a crossbar memory array. However, selective and linear weight updates and < 10-nanoampere read currents are required for learning that surpasses conventional computing efficiency. We introduce an ionic floating-gate memory array based on a polymer redox transistor connected to a conductive-bridge memory (CBM). Selective and linear programming of a redox transistor array is executed in parallel by overcoming the bridging threshold voltage of the CBMs. Synaptic weight readout with currents < 10 nanoamperes is achieved by diluting the conductive polymer with an insulator to decrease the conductance. The redox transistors endure >1 billion write-read operations and support 1-megahertz write-read frequencies.
Journal Article
Reconstruction of Zebrafish Early Embryonic Development by Scanned Light Sheet Microscopy
A long-standing goal of biology is to map the behavior of all cells during vertebrate embryogenesis. We developed digital scanned laser light sheet fluorescence microscopy and recorded nuclei localization and movement in entire wild-type and mutant zebrafish embryos over the first 24 hours of development. Multiview in vivo imaging at 1.5 billion voxels per minute provides \"digital embryos,\" that is, comprehensive databases of cell positions, divisions, and migratory tracks. Our analysis of global cell division patterns reveals a maternally defined initial morphodynamic symmetry break, which identifies the embryonic body axis. We further derive a model of germ layer formation and show that the mesendoderm forms from one-third of the embryo's cells in a single event. Our digital embryos, with 55 million nucleus entries, are provided as a resource.
Journal Article
Ubiquitous cell-free Massive MIMO communications
Since the first cellular networks were trialled in the 1970s, we have witnessed an incredible wireless revolution. From 1G to 4G, the massive traffic growth has been managed by a combination of wider bandwidths, refined radio interfaces, and network densification, namely increasing the number of antennas per site. Due its cost-efficiency, the latter has contributed the most. Massive MIMO (multiple-input multiple-output) is a key 5G technology that uses massive antenna arrays to provide a very high beamforming gain and spatially multiplexing of users and hence increases the spectral and energy efficiency (see references herein). It constitutes a centralized solution to densify a network, and its performance is limited by the inter-cell interference inherent in its cell-centric design. Conversely, ubiquitous cell-free Massive MIMO refers to a distributed Massive MIMO system implementing coherent user-centric transmission to overcome the inter-cell interference limitation in cellular networks and provide additional macro-diversity. These features, combined with the system scalability inherent in the Massive MIMO design, distinguish ubiquitous cell-free Massive MIMO from prior coordinated distributed wireless systems. In this article, we investigate the enormous potential of this promising technology while addressing practical deployment issues to deal with the increased back/front-hauling overhead deriving from the signal co-processing.
Journal Article
Performing Mathematical Operations with Metamaterials
We introduce the concept of metamaterial analog computing, based on suitably designed metamaterial blocks that can perform mathematical operations (such as spatial differentiation, integration, or convolution) on the profile of an impinging wave as it propagates through these blocks. Two approaches are presented to achieve such functionality: (i) subwavelength structured metascreens combined with graded-index waveguides and (ii) multilayered slabs designed to achieve a desired spatial Green's function. Both techniques offer the possibility of miniaturized, potentially integrable, wave-based computing systems that are thinner than conventional lens-based optical signal and data processors by several orders of magnitude.
Journal Article