Scientists make a pocket-sized AI brain with help from monkey neurons

A new study suggests AI systems could be a lot more efficient. Researchers were able to shrink an AI vision model to 1/1000th ...
IEEE

Model-Based Systems Engineering for Digital Twin System Development Applied to an Aircraft Seat Test Bench

Abstract: In recent years, the Digital Twin has attracted significant attention in academia and industry as a powerful technology for creating virtual replicas of physical systems tailored to specific ...
Analytics Insight

10 Easiest and Most Difficult Programming Languages in 2026

Overview:Programming languages with simple syntax allow faster learning and practical application for beginnersLow-level ...

3 AI Agents For Work You Should Try Before Your Boss Asks

Companies like Shopify and Meta now expect AI fluency from employees. These three AI agent tools help you build the skills ...
The Robot Report

Vision-language-action models are the next leap in autonomous robotics

Explore how vision-language-action models like Helix, GR00T N1, and RT-1 are enabling robots to understand instructions and act autonomously.
GitHub

uqlm: Uncertainty Quantification for Language Models

UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...
IEEE

Incremental Sparse Gaussian Process-Based Model Predictive Control for Trajectory Tracking of Unmanned Underwater Vehicles

Abstract: In this letter, a Model Predictive Control (MPC) approach based on the Incremental Sparse Gaussian Process (ISGP) is designed for trajectory tracking of Unmanned Underwater Vehicles (UUVs).