Understand how this artificial intelligence is revolutionizing the concept of what an autonomous agent can do (and what risks ...

Finding the right book can make a big difference, especially when you’re just starting out or trying to get better. We’ve ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Before analyzing a dataset, the first step is acquiring the data. While platforms like Kaggle and data.gov provide a wealth of datasets, one of the most popular platforms for local government data is ...

Abstract: Intelligent reflecting surface (IRS) is an enabling technology to engineer the radio signal propagation in wireless networks. By smartly tuning the signal reflection via a large number of ...

BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...

This project provides a framework for evaluating tools to extract information from scientific PDF documents. The framework offers (1) multi-task and multi-domain evaluation capabilities, (2) ...

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