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The SpiNNaker 2 Processing Element Architecture for Hybrid Digital Neuromorphic Computing
This paper introduces the processing element architecture of the second ...
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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...
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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...
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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 ...
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Stochastic rounding and reduced-precision fixed-point arithmetic for solving neural ODEs
Although double-precision floating-point arithmetic currently dominates ...
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Dynamic Power Management for Neuromorphic Many-Core Systems
This work presents a dynamic power management architecture for neuromorp...
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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...
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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) ...
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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...
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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...
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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 ...
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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...
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