A poisoned npm package infected 140+ projects with a hidden payload. This report highlights how to detect, hunt, and defend ...

Transformations are the key to such codes, and they rely on math that predates computing as we know it by centuries. There ...

The mathematics community is right to call for transparency, integrity and fairness to be protected when AI tools are used.

Tensordyne says logarithmic computing could reduce AI inference costs and power demands, offering an alternative to conventional chip designs.

Linear regression is the most fundamental machine learning technique to create a model that predicts a single numeric value. One of the three most common techniques to train a linear regression model ...

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Abstract: Most of the controllers designed for systems with timedelays involve finite impulse response (FIR) filters in their structure, in particular prediction based controllers for systems with ...

Analysis of variance (ANOVA) is a classical statistics technique that's used to infer if the unknown means (averages) of three or more groups are likely to all be equal or not, based on the variances ...

Abstract: We propose a general framework for fast and accurate recognition of actions in video using empirical covariance matrices of features. A dense set of spatio-temporal feature vectors are ...