Abstract: Detecting anomalies in general ledger data is of utmost importance to ensure the trustworthiness of financial records. Financial audits increasingly rely on machine learning (ML) algorithms ...
Abstract: The unsustainable rise in energy cost from increasingly capable deep learning systems spurs computer architecture innovation beyond conventional deep learning accelerators such as GPUs.
A study led by UC Riverside researchers offers a practical fix to one of artificial intelligence's toughest challenges by ...
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