This research proposes WGAN-AFL, a method to improve the efficiency of vulnerability detection in software. The method uses fuzz testing, an automated software testing technology, to detect vulnerabilities. However, the…
Continue readingThis research paper provides insights into how children (aged 7-13) value and design AI interfaces, specifically teachable machines. The study involved a co-design session where children and adults participated in…
Continue readingThis academic paper discusses the potential of N:M fine-grained structured sparsity in reducing the computational cost of Deep Neural Networks (DNNs) while maintaining accuracy. It proposes a bidirectional weight pruning…
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