Melody Schwenk, a doctoral candidate in the Ph.D. in Educational Neuroscience (PEN) program, has been named a 2025 National Academy of Education ...

Vision-language models (VLMs) are advanced computational techniques designed to process both images and written texts, making ...

For example, in the DOCTOR script, if the computer ... language identification, and diarization, which can distinguish between speakers. Google’s Live Caption system uses three deep learning ...

Traditional solutions, like sign language interpreters ... By fusing deep learning with hand landmark detection, our team created a system that not only achieves high accuracy but also remains ...

Traditional solutions, like sign language interpreters ... Computer Science. "By fusing deep learning with hand landmark detection, our team created a system that not only achieves high accuracy but ...

Traditional solutions, like sign language interpreters ... accurately recognize ASL alphabet letters in real time. Using advanced deep learning and key hand point tracking, it translates ASL ...

There are a number of reasons using a sign language interpreter would be more effective and efficient than, say, typing messages on your phone and handing them to another person to read.

When we think about breaking down communication barriers, we often focus on language translation apps or voice assistants. But for millions who use sign ... and Computer Science shares the bigger ...

A study is the first-of-its-kind to recognize American Sign Language (ASL) alphabet gestures using computer vision ... MediaPipe and YOLOv8, a deep learning method they trained, with fine-tuning ...

This complexity is compounded by the dynamic nature of sign ... Language (ISL) recognition system. Specifically addressing the communication gap experienced by deaf children, our approach leverages ...