SemHash is a lightweight, multimodal library for semantic deduplication, outlier filtering, and representative sample selection. Text works out of the box with fast Model2Vec embeddings, and images, ...

Deaf people are at three times higher risk for diabetes, but access to health information in ASL is limited. The first diabetes information website primarily in ASL has launched. The site includes ...

Google published a research paper about helping recommender systems understand what users mean when they interact with them. Their goal with this new approach is to overcome the limitations inherent ...

In 2024, the elephant in the room was how generative artificial intelligence seized the conversation. In 2025, the dialog shifted to agents and the question of whether there’s an AI bubble happening ...

ASL Citizen is the first crowdsourced isolated sign language video dataset. The dataset contains about 84k video recordings of 2.7k isolated signs from American Sign Language (ASL), and is about four ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine the role that semantic leakage ...

The Trump White House is facing legal challenges after discontinuing real-time American Sign Language interpretation at many official events, prompting renewed concerns from disability advocates about ...

The Trump administration is fighting to keep American Sign Language (ASL) interpreters from interpreting White House press briefings in real time after the The National Association for the Deaf (NAD) ...

JanusVLN is a novel VLN framework and the first to feature a dual implicit memory. Inspired by the implicit scene representation in human navigation, which integrates left-brain semantic understanding ...

Every data engineering team right now is being asked the same question: "How do we build a chatbot that talks to our data?" The prototypes are deceptively simple. A developer connects GPT-5.1 to a ...

The application of data science in agriculture enables the analysis of diverse datasets using methods such as machine learning, deep learning, computer vision, text mining (Drury and Roche, 2019), and ...

You followed the SEO playbook. You carefully selected keywords, analyzed competing content, and published long‑form articles that filled gaps in coverage for dozens of topics. Yet your Google rankings ...