Improving classification accuracy of feedforward neural networks for spiking neuromorphic chips

Deep Neural Networks (DNN) achieve human level performance in many image analytics tasks but DNNs are mostly deployed to GPU platforms that consume a considerable amount of power. New hardware platforms using lower precision arithmetic achieve drastic reductions in power consumption. More recently, brain-inspired spiking neuromorphic chips have achieved even lower power consumption, on the order of milliwatts, while still offering real-time processing. However, for deploying DNNs to energy efficient neuromorphic chips the incompatibility between continuous neurons and synaptic weights of traditional DNNs, discrete spiking neurons and synapses of neuromorphic chips need to be overcome. Previous work has achieved this by training a network to learn continuous probabilities, before it is deployed to a neuromorphic architecture, such as IBM TrueNorth Neurosynaptic System, by random sampling these probabilities. The main contribution of this paper is a new learning algorithm that learns a TrueNorth configuration ready for deployment. We achieve this by training directly a binary hardware crossbar that accommodates the TrueNorth axon configuration constrains and we propose a different neuron model. Results of our approach trained on electroencephalogram (EEG) data show a significant improvement with previous work (76% vs 86% accuracy) while maintaining state of the art performance on the MNIST handwritten data set.Comment: IJCAI-2017. arXiv admin note: text overlap with arXiv:1605.0774

Rangeland Rehydration: Collaboration between Land Managers, Government and Private Experts

In the rangelands of New South Wales, Australia, many successful soil erosion control techniques have been developed. These techniques have been implemented by the Western Local Land Services (WLLS), rehabilitating 23,000 ha since 2004. However the focus was on degraded land with little regard to catchment dynamics and the threatening processes that were causing the degradation. With the introduction of Ecosystem Management Understanding (EMU)™ in 2016, the focus was broadened to address grazing properties in a drainage ecosystem context. There is a focus on understanding landscape function and designing projects that address threatening processes. With the integration of the WLLS and EMU approaches, effort is now put into saving threatened landscapes and resurrecting degraded landscapes. Both approaches have been integrated to restore soil moisture, reduce grazing impacts, restore calm water and save productive landscapes. In this process, landscape objectives and outcomes are identified and priority projects developed. A major benefit is the increased capacity of land managers to understand landscape processes and then to design and implement projects on their properties. This knowledge is allowing land managers to focus on being rain ready during droughts. The level of ownership has provided a forward looking focus for land managers, building resilience during drought. Each grazing property will approach the same issue differently, depending on resources and preferences. Some approaches use earthworks while other approaches use soft filters to improve rainfall management. Earthwork techniques include champagne banks, waterponding, waterspreading, contour furrows and erosion control structures across roads. Soft filters are placed in flow lines to slow water and can be constructed from mesh, branches or rocks. We tell this story through examples of projects and demonstrate the success of a collaborative approach to landscape rehydration

An Approach to Classical Quantum Field Theory Based on the Geometry of Locally Conformally Flat Space-Time

This paper gives an introduction to certain classical physical theories described in the context of locally Minkowskian causal structures (LMCSs). For simplicity of exposition we consider LMCSs which have locally Euclidean topology (i.e., are manifolds) and hence are Möbius structures. We describe natural principal bundle structures associated with Möbius structures. Fermion fields are associated with sections of vector bundles associated with the principal bundles while interaction fields (bosons) are associated with endomorphisms of the space of fermion fields. Classical quantum field theory (the Dirac equation and Maxwell’s equations) is obtained by considering representations of the structure group K⊂SU(2,2) of a principal bundle associated with a given Möbius structure where K, while being a subset of SU(2,2), is also isomorphic to SL2,C×U(1). The analysis requires the use of an intertwining operator between the action of K on R4 and the adjoint action of K on su⁡(2,2) and it is shown that the Feynman slash operator, in the chiral representation for the Dirac gamma matrices, has this intertwining property

Superpixels, Occlusion and Stereo

Graph-based energy minimization is now the state of the art in stereo matching methods. In spite of its outstanding performance, few efforts have been made to enhance its capability of occlusion handling. We propose an occlusion constraint, an iterative optimization strategy and a mechanism that proceeds on both the digital pixel level and the super pixel level. Our method explicitly handles occlusion in the framework of graph-based energy minimization. It is fast and outperforms previous methods especially in the matching accuracy of boundary areas

Indigenous Cultural Safety Training in Health, Education, and Social Service Work

Background: Indigenous Cultural Safety (ICS) training is a growing field of study; however, little consensus exists about how ICS is conceptualized and operationalized. This lack of consistency can lead to misinterpretation and misappropriation of Indigenous knowledges and histories that can further perpetuate colonial harms. Objective: The objective of this scoping review is to explore and characterize the academic literature related to the conceptualization and operationalization of ICS training within the fields of health, social services, and education. Methods: This scoping review protocol employs the Joanna Briggs Institute’s three-step search strategy to identify articles in the following databases: MEDLINE, EMBASE, CINAHL, ERIC, and ASSIA. This protocol follows the PRISMA guidelines for Scoping Reviews (Joanna Briggs Institute, 2015; Tricco et al., 2018). Discussion: This review will add new knowledge by offering insights into the historic and contemporary approaches to defining and operationalizing ICS training in the health, education and social services fields. The results produced will be of interest to scholars and health, social services, and education providers looking to apply the most current and appropriate concepts and practices of ICS