Abstract: Home automation has changed the way of interacting with our environment, offering accessibility and more flexibility home. This project aims to establish an efficient smart home automation ...

Using an AI coding assistant to migrate an application from one programming language to another wasn’t as easy as it looked. Here are three takeaways.

Early detection of Alzheimer’s disease (AD) through spontaneous speech analysis represents a promising, non-invasive diagnostic approach. Existing methods predominantly rely on fusion-based multimodal ...

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 ...

Abstract: This paper presents a novel autoregressive approach for sentence-level silent speech recognition (SSR) using surface electromyography (sEMG) signals. We propose an attention-enhanced ...

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 ...

Researchers have identified a promising new speech biomarker that could significantly enrich clinical trials by reducing sample size requirements and enhancing statistical outcomes. By using speech ...