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.
Abstract: Accurate modeling of electric vehicle (EV) charging dynamics is essential for optimizing charging infrastructure and grid integration, especially when dealing with sparse data and random ...
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 ...
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 ...
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