During the making of an AI model, Performance metrics like accuracy, precision, recall, F1-score, ROC curves are used to ...

Abstract: Dynamic image degradations, including noise, blur and lighting inconsistencies, pose significant challenges in image restoration, often due to sensor limitations or adverse environmental ...

Abstract: In this work, we introduce a novel gradient descent-based approach for optimizing control systems, leveraging a new representation of stable closed-loop dynamics as a function of two ...

Did you consider yourself a mathematician the last time you sat down to solve a Sudoku puzzle? It’s certainly a mentally stimulating activity—review the squares, jot down a few potential answers, scan ...

Abstract: Deep neural networks have become a key technology in Power Line Inspection Models. Traditional methods for training deep neural networks mostly use gradient descent optimization algorithms.

Google has just announced the Pixel 10 series, and all four phones are powered by the Tensor G5 processor. Tensor chips have traditionally enabled a variety of great Pixel-only features, but have also ...

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