Abstract: We introduce the Overfitting-Underfitting Indicator (OUI), a novel tool for monitoring the training dynamics of Deep Neural Networks (DNNs) and identifying optimal regularization ...

Actually, I won’t use the term AI. It’s too broad: it can mean anything from zero-player tic-tac toe up through Colonel Sanders in The Matrix Reloaded. Instead I’ll say deep learning, which is the ...

Heart failure with preserved ejection fraction is a prevalent condition that carries a high morbidity and mortality, with limited treatment options. Obtaining and integrating critical mechanistic ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

SEC calibration links elution volume/time to polymer hydrodynamic volume using standards, requiring model-form selection that preserves predictive molecular-weight distribution fidelity. Least-squares ...

According to Anthropic on Twitter, the company measures 'incoherence' in AI models through a bias-variance decomposition of errors. In this framework, bias refers to consistent, systematic errors ...

A widely discussed concern about generative AI is that systems trained on biased data can perpetuate and even amplify those biases, leading to inaccurate outputs or unfair decisions. But that’s only ...

Mass shootings in white-majority neighborhoods received roughly twice the news coverage of mass shootings in neighborhoods where a majority of residents were people of color, while coverage of ...

Deep Learning Crash Course: A Hands-On, Project-Based Introduction to Artificial Intelligence is written by Giovanni Volpe, Benjamin Midtvedt, Jesús Pineda, Henrik Klein Moberg, Harshith Bachimanchi, ...

Will AI improve or degrade fairness? With nearly 90% of companies now using some form of AI in hiring, this question is top of mind for many leaders, and it tends to split them into two camps. One ...