Both the generation and the analysis of proteome data are becoming increasingly widespread, and the field of proteomics is moving incrementally toward high-throughput approaches. Techniques are also ...

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

TUCSON, Ariz. (13 News) - As kids in Arizona struggle with reading, a group of Tucson students is outperforming their peers. Tucson Unified School District offers two-way dual language programs where ...

In this tutorial, we show how we treat prompts as first-class, versioned artifacts and apply rigorous regression testing to large language model behavior using MLflow. We design an evaluation pipeline ...

Abstract: High switching speed wide-bandgap (WBG) devices demand precise multi-scale electro-thermal modeling with high resolution to optimize design and enhance reliability. This paper proposes a ...

Abstract: The dissemination of multi-level modeling (MLM) depends not least on graduates who learned to appreciate the benefits of this modeling paradigm. To this end, effective approaches to teaching ...

Unified integration of OpenCog core components as a single monorepo, designed for ease of deployment, automation, and interactive neural-symbolic exploration. All components are directly included (no ...

This repository contains the core implementation for the paper: "A Unified Rotating Machinery Health Management Framework Leveraging Large Language Models for Diverse Components, Conditions, and Tasks ...