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Online Continual Learning on Intel Loihi 2 via a Co-designed Spiking Neural Network
and-cluster-computingartificial-intelligencedistributedmachine-learningneural-and-evolutionary-computingparallel
Edge AI must adapt to new classes and shifting data within a tight power budget, but online continual learning (learning from each sample before the next arrives) is where conventional processors are least efficient: each small update pays a full dispatch at full power. We present CLP-SNN, a spiking
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