The Global NLP in Education Market is projected to grow at a CAGR of 12.8% from 2026 to 2033, according to a new report ...

In K–12 education, Automatic Speech Recognition (ASR) is increasingly being applied to support learning, engagement, and accessibility. However, developing ASR systems for children continues to poses ...

The Lonestar6 (left) supercomputer and Corral data management and storage systems (right) at the Texas Advanced Computing Center are resources available through allocations awarded by the UT System ...

Quantum machine learning is a hybrid approach that combines classical data with quantum computing methods. In classical computing, data is stored in bits encoded as a 0 or 1. Quantum computers use ...

Abstract: An automatic speech recognition system is important to help Muslims recite the Holy Quran accurately. Most existing research ignores a wide range of potential users (reciters) in their ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Mistral released an open-sourced voice ...

Interested in adopting AI tools? Unlock the potential of an AI voice assistant to transform your workflows and elevate your productivity. We are currently in an era of rapid artificial intelligence ...

Every time you say something to Alexa or Siri, or use voice to text to send a text message, you’re using artificial intelligence. While those programs can be pretty accurate, there’s plenty of times ...

What if the race to perfect AI speech recognition wasn’t just about accuracy but also speed and usability? In a world where audio-to-text transcription powers everything from virtual meetings to ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...