Steve Furber

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The University of Manchester

The Director of the Manchester CDT is Professor Steve Furber CBE FRS FREng, ICL Professor of Computer Engineering.

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Low-Power Low-Latency Keyword Spotting and Adaptive Control with a SpiNNaker 2 Prototype and Comparison with Loihi

We implemented two neural network based benchmark tasks on a prototype c...
09/18/2020 ∙ by Yexin Yan, et al. ∙ 7 ∙ share

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ATIS + SpiNNaker: a Fully Event-based Visual Tracking Demonstration

The Asynchronous Time-based Image Sensor (ATIS) and the Spiking Neural N...
12/03/2019 ∙ by Arren Glover, et al. ∙ 2 ∙ share

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Stochastic rounding and reduced-precision fixed-point arithmetic for solving neural ordinary differential equations

Although double-precision floating-point arithmetic currently dominates ...
04/25/2019 ∙ by Michael Hopkins, et al. ∙ 0 ∙ share

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Stochastic rounding and reduced-precision fixed-point arithmetic for solving neural ODEs

Although double-precision floating-point arithmetic currently dominates ...
04/25/2019 ∙ by Michael Hopkins, et al. ∙ 0 ∙ share

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Dynamic Power Management for Neuromorphic Many-Core Systems

This work presents a dynamic power management architecture for neuromorp...
03/21/2019 ∙ by Sebastian Hoeppner, et al. ∙ 8 ∙ share

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Efficient Reward-Based Structural Plasticity on a SpiNNaker 2 Prototype

Advances in neuroscience uncover the mechanisms employed by the brain to...
03/20/2019 ∙ by Yexin Yan, et al. ∙ 8 ∙ share

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SLAMBench2: Multi-Objective Head-to-Head Benchmarking for Visual SLAM

SLAM is becoming a key component of robotics and augmented reality (AR) ...
08/21/2018 ∙ by Bruno Bodin, et al. ∙ 0 ∙ share

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Navigating the Landscape for Real-time Localisation and Mapping for Robotics and Virtual and Augmented Reality

Visual understanding of 3D environments in real-time, at low power, is a...
08/20/2018 ∙ by Sajad Saeedi, et al. ∙ 4 ∙ share

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Noisy Softplus: an activation function that enables SNNs to be trained as ANNs

We extended the work of proposed activation function, Noisy Softplus, to...
03/31/2017 ∙ by Qian Liu, et al. ∙ 0 ∙ share

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Application-aware Retiming of Accelerators: A High-level Data-driven Approach

Flexibility at hardware level is the main driving force behind adaptive ...
12/24/2016 ∙ by Ana Lava, et al. ∙ 0 ∙ share

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Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM

Real-time dense computer vision and SLAM offer great potential for a new...
10/08/2014 ∙ by Luigi Nardi, et al. ∙ 0 ∙ share

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