Abstract: Current brain-machine interfaces (BMIs) often rely on decoders trained for single tasks, limiting their flexibility in real-world applications. We propose an online learning framework that ...
Abstract: When parallel workloads do not scale with the core, it is challenging to utilize parallelism effectively, especially on distributed cache/memory multi-core platforms. The mapping of ...
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