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Google’s Chrome team previews WebMCP, a proposed web standard that lets websites expose structured tools for AI agents instead of relying on screen scraping.

Abstract: This research explores the application of machine learning in financial fraud detection, comparing the performance of four models: logistic regression, support vector machine, random forest, ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

Abstract: Indeed These days, trading stocks is a vital part of the finance sector. It could be difficult to predict stock values using machine learning because the market is continually changing. On ...