Event-Driven Sensing for Efficient Perception: Vision and Audition Algorithms

This week on Journal Club session Nik Dennler will talk about a paper "Event-Driven Sensing for Efficient Perception: Vision and Audition Algorithms".

Event sensors implement circuits that capture partial functionality of biological sensors, such as the retina and cochlea. As with their biological counterparts, event sensors are drivers of their own output. That is, they produce dynamically sampled binary events to dynamically changing stimuli. Algorithms and networks that process this form of output representation are still in their infancy, but they show strong promise. This article illustrates the unique form of the data produced by the sensors and demonstrates how the properties of these sensor outputs make them useful for power-efficient, low-latency systems working in real time.


Papers:

Date: 2021/05/14
Time: 14:00
Location: online

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Associative memory olfaction Deep learning Artificial intelligence Studentship Neurons Evolutionary algorithms PCA cerebellum Neuronal Morphology Purkinje cell Software development computational neuroscience Convolutional Neural Networks Structural plasticity Persistent homology Neuromorphic hardware Computer Science optimization Homoeostasis robotics Dendritic computation computational modelling neural networks machine learning neuroscience synaptic plasticity Network connectivity COVID-19 Open position