AI performance is not only about intelligence; it is also about how efficiently the system stores and reuses information. Think of a large language model like a very expensive expert sitting in a high ...

Abstract: In this paper, we present a memory-efficient ECG based heartbeat classification for wearable devices enabled by multi-feature fusion and compressed bidirectional long short term memory ...

Abstract: Deploying quantized deep neural network (DNN) models with resource adaptation capabilities on ubiquitous Internet of Things (IoT) devices to provide high-quality AI services can leverage the ...

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...

At 8K context, a 7B model needs ~448MB just to store keys and values (FP16). Scale context or model size, and this quickly becomes the dominant inference bottleneck. Last week, I came across ...

This important work introduces an integrated open-source platform for behavioral acquisition and pose estimation that substantially improves the accessibility and speed of real-time animal tracking ...

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