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AI & Academia

111 summarised stories about AI & Academia, each linking back to the original source. Browse all topics →

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Monday, 24 August 2026

AI-powered metadata correction and harmonization

Amazon Web Services 1 month ago 28

AWS has demonstrated an AI-powered metadata correction and harmonization workflow that uploads metadata, runs parallel schema alignment and field validation, and proposes targeted fixes with user approval. It uses Amazon Bedrock on AWS and selects Amazon Titan embeddings for semantic matching. The workflow shifts metadata standardization from largely manual work to a scalable, cyclical pipeline with human-in-the-loop governance options for deployment.

Kids outlearn AI—and we still don’t know why

MIT Technology Review 1 month ago 36

Researchers say today’s large language models need far more training data than human children to learn language, creating a “data efficiency gap” that remains unexplained. BabyLM—the benchmark competition meant to test child-scale learning—asks teams to train models on a developmentally plausible corpus of 100 million words (10 million for the toddler track). The field is shifting toward evaluating and designing more data-efficient AI systems that better match how children acquire grammar, instead of relying only on scaling up data.

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