How Google’s Lang Extract Turns Messy Documents into Trustworthy JSON and Interactive HTML

Google’s Lang Extract uses prompts with Gemini or GPT, works locally or in the cloud, and helps you ship reliable, traceable data faster.
IEEE

Matrix-Inversion-Free Sparse Bayesian Learning for High-Resolution Radar Imagery via Improved Variational Inference

Abstract: Sparse Bayesian learning (SBL) is an advanced statistical framework that dominantly enhances the sparse features of targets of interest in radar imagery. A widely adopted strategy for ...
IEEE

Distributed Privacy-Preserving Reinforcement Learning via Sparse Matrix Encryption for IoT

Abstract: Reinforcement learning (RL) has been increasingly adopted in IoT systems for tasks such as resource allocation and control. However, in privacy-critical and resource-constrained environments ...
GitHub

MATRIX-AI Voice Assistant

A sophisticated voice AI assistant that brings the Matrix aesthetic to conversational AI. Built with Python and powered by ElevenLabs' cutting-edge Conversational AI API, this application delivers ...
GitHub

NVIDIA/TensorRT-Edge-LLM

TensorRT Edge-LLM is NVIDIA's high-performance C++ inference runtime for Large Language Models (LLMs) and Vision-Language Models (VLMs) on embedded platforms. It enables efficient deployment of ...