Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
The Trump administration is arguing that requiring real-time American Sign Language interpretation of events like White House press briefings “would severely intrude on the President’s prerogative to ...
A federal judge ordered the White House Tuesday to immediately provide American Sign Language (ASL) interpretation at all press briefings conducted by President Trump or press secretary Karoline ...
Indianapolis Colts cheerleader Morgan is proficient in American Sign Language and uses it to connect with fans. She met 8-year-old Mark at Sunday's Colts game who recently moved to the city to attend ...
Abstract: People with disabilities have increased over the past few years in Indonesia. Data from the Central Bureau of Statistics, Republic of Indonesia shows that the number of people with ...
Heritage President Apologizes for Tucker Carlson Defense Video in Heated All-Hands Meeting After Objecting to Boys in Girls’ Sports, Seth Moulton Pledges to ‘Lead’ Trans Bill of Rights Push ...
Sign language (SL) is an essential mode of communication for Deaf and Hard-of-Hearing (DHH) individuals. Its education remains limited by the lack of qualified instructors, insufficient early exposure ...
Until now, the AI revolution has been largely measured by size: the bigger the model, the bolder the claims. However, as we move closer to truly autonomous and pervasive AI systems, a new trend is ...
What if technology could bridge the gap between spoken language and sign language, empowering millions of people to communicate more seamlessly? With advancements in deep learning, this vision is no ...
ABSTRACT: Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle ...
ABSTRACT: Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle ...
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