Several years ago, my linguistic research team and I began developing a computational tool we call "Read-y Grammarian." Our ...

At the heart of today’s artificial-intelligence models are vast bodies of training data — text, videos and images created by real people and used to teach models how to recognize patterns and generate ...

Smarter document extraction starts here.

Generative AI is transforming how leaders can use unstructured, regulated text to generate actionable insights. To illustrate this, researchers fine-tuned a GPT to analyze 10-K business descriptions ...

Implement pattern matching for technical skills Categorize skills into domains (Programming, Web Tech, Cloud, etc.) Calculate frequency analysis of skills Generate insights on most in-demand skills ...

Unlike PCA (maximum variance) or ICA (maximum independence), ForeCA finds components that are maximally forecastable. This makes it ideal for time series analysis where prediction is often the primary ...

Apple's autocorrect on iPhone and iPad always aims to help when you're typing a message, but it's by no means perfect, and some of the replacements it continually spews out can be frustrating.

Abstract: Multivariate cortico-muscular analysis has recently emerged as a promising approach for evaluating the corticospinal neural pathway. However, current multivariate approaches encounter ...

Abstract: The quality of modern software relies heavily on the effective use of static code analysis tools. To improve their usefulness, these tools should be evaluated using a framework that ...