XDA Developers on MSN

Docker Model Runner makes running local LLMs easier than setting up a Minecraft server

On Docker Desktop, open Settings, go to AI, and enable Docker Model Runner. If you are on Windows with a supported NVIDIA GPU ...

Nvidia takes on Tesla with what Jensen Huang calls the 'ChatGPT moment' for self-driving

"The ChatGPT moment for physical AI is here — when machines begin to understand, reason, and act in the real world," Nvidia ...

Databricks' Instructed Retriever beats traditional RAG data retrieval by 70% — enterprise metadata was the missing link

Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...
IEEE

A Real-Time Intelligent System Based on Machine-Learning Methods for Improving Communication in Sign Language

Abstract: In this article, we introduce a cost-effective and real-time intelligent system tailored to Pakistan sign language (PSL) recognition, aimed at facilitating communication for hearing-impaired ...

Nous Research's NousCoder-14B is an open-source coding model landing right in the Claude Code moment

B, an open-source AI coding model trained in four days on Nvidia B200 GPUs, publishing its full reinforcement-learning stack as Claude Code hype underscores the accelerating race to automate software ...

Meta’s Vision-Language Shift VL-JEPA Beats Bulky LLMs

VL-JEPA predicts meaning in embeddings, not words, combining visual inputs with eight Llama 3.2 layers to give faster answers ...

Marine regression emerges as key driver of Late Paleozoic Ice Age in high-resolution model

Earth system box models are essential tools for reconstructing long-term climatic and environmental evolution and uncovering ...
IEEE

A Real-time Sign Language Recognition System using MediaPipe and Random Forest Classifier combining with Text-to-Speech Technique

Abstract: This research study introduces a real-time sign language detection system utilizing hand gestures, specifically developed to bridge the communication gap for deaf and hard-of-hearing ...