Several years ago, my linguistic research team and I began developing a computational tool we call "Read-y Grammarian." Our ...
This important study combines real-time key point tracking with transdermal activation of sensory neurons as a general technique to explore how somatosensory stimulation impacts behavior in freely ...
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 ...
Computer engineers and programmers have long relied on reverse engineering as a way to copy the functionality of a computer ...
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 ...
Experimental - This project is still in development, and not ready for the prime time. A minimal, secure Python interpreter written in Rust for use by AI. Monty avoids the cost, latency, complexity ...
AI models still lose track of who is who and what's happening in a movie. A new system orchestrates face recognition and staged summarization, keeping characters straight, and plots coherent across ...
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 ...
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