For Priya Donti, childhood trips to India were more than an opportunity to visit extended family. The biennial journeys activated in her a motivation that continues to shape her research and her teaching. Contrasting her family home in Massachusetts, Donti — now the Silverman Family Career Development Professor in the MIT Department of Electrical Engineering and Computer Science (EECS) and a principal investigator at the MIT Laboratory for Information and Decision Systems — was struck by the disparities […]

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DBSCAN shows how far we can go with a very simple idea: count how many neighbors live close to each point. It finds clusters and marks anomalies without any probabilistic model, and it works beautifully in Excel. But because it relies on one fixed radius, HDBSCAN is needed to make the method robust on real data. The post The Machine Learning “Advent Calendar” Day 10: DBSCAN in Excel appeared first on Towards Data Science.

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Systematically evaluating the factuality of large language models with the FACTS Benchmark Suite.

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In 2025, “using AI” no longer just means chatting with a model, and you’ve probably already noticed that shift yourself.

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This article is for vibe coders and developers seeking private, fast, and affordable AI coding solutions.

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Tune out external criticism, focus on process over outcomes, and embrace reflection and routine.

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