Automation and Jobs Read our latest special issue. Open Now University of Washington language researchers and legal professionals recently created a labeled dataset for detection of interruptions and competitive turn-taking in U.S. Supreme Court oral arguments. They then used the corpus of “turn changes” to train AI models to experiment …
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VB Transform Watch every session from the AI event of the year On-Demand Watch Now In a study accepted to the 2020 International Conference on Machine Learning last week, researchers at the Chalmers University of Technology and the RISE Research Institutes of Sweden propose a privacy-preserving technique that learns to …
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Several months ago, VR Heaven — a blog that we, Aaron Santiago (VR software engineer) and Winston Nguyen (VR marketer), run — posted an informal survey on Reddit asking participants how often they experienced VR motion sickness and their gender. They could answer frequently, sometimes, rarely or never. These are …
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Researchers at Salesforce and the University of Virginia have proposed a new way to mitigate gender bias in word embeddings, the word representations used to train AI models to summarize, translate languages, and perform other prediction tasks. The team claims that correcting for certain regularities — like word frequency in …
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A preprint paper published by University of Trento researchers proposes a benchmark — MuST-SHE — to evaluate whether speech translation systems fed textual data are constrained by the fact that sentences sometimes omit gender identity clues. It’s the assertion of the coauthors that these systems can and do exhibit gender …
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