IEEE

Pose-Based Isolated Sign Language Recognition with Semantic Mapping and CorrFormer

Abstract: Pose-based isolated sign language recognition (ISLR) demonstrates strong resilience to background noise and maintains computational efficiency. Existing methods typically use raw pose data, ...
EL PAÍS English

How does artificial intelligence think? The big surprise is that it ‘intuits’

Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving ...

Developers say AI coding tools work—and that’s precisely what worries them

Software developers have spent the past two years watching AI coding tools evolve from advanced autocomplete into something ...

Gemini 3 Flash gets Agentic Vision to deliver more accurate, evidence-based image understanding

Google has introduced Agentic Vision for Gemini 3 Flash, a new capability that improves how the model understands and ...

Here’s the Company That Sold DHS ICE’s Notorious Face Recognition App

Immigration agents have used Mobile Fortify to scan the faces of countless people in the US—including many citizens.
IEEE

Deep Learning-Based Sign Language Recognition Using Efficient Multi-Feature Attention Mechanism

Abstract: Sign language is a communication system used by Deaf and hard of hearing people and serves as a bridge between Deaf and hearing communities. Since sign language uses numerous visuomotor ...
GitHub

Can Large Language Models Predict Parallel Code Performance?

We took this version of HeCBench and are modifying it to build the CUDA and OMP codes to gather their roofline performance data. So far we have a large portion of the CUDA and OMP codes building ...