One of the most popular uses of crowdsourcing is to provide training data for supervised machine learning algorithms. Since human annotators often make errors, requesters commonly ask multiple workers to label each example. But is this strategy always the most cost effective use of crowdsourced workers? We argue “No” — often classifiers can achieve higher accuracies when trained with noisy “uni...

Load scheduling and execution are performance critical aspects of dynamically-scheduled processing. Several techniques employ speculation on loads with respect to older stores to improve some aspect of load processing. Speculative scheduling and speculative indexed store-load forwarding are two examples. Speculative actions require verification. One simple mechanism that can verify any load spe...

Research on highly pathogenic organisms is crucial for medicine and public health, and we strongly support it. This work creates a foundation of new knowledge that provides critical insights around the world’s most deadly infectious diseases, and it can lay groundwork for the future development of new diagnostics, medicines, and vaccines. Almost all such research can be performed in ways that p...