IEEE

Ensuring Semantic Consistency in SysML v2 Models Through Metamodel-Driven Validation

Abstract: Model-Based Systems Engineering (MBSE) relies on formal models for system lifecycle management, supporting model coherence and efficient reuse of components. Modelling languages, ...

Microsoft's new AI training method eliminates bloated system prompts without sacrificing model performance

Microsoft researchers have developed On-Policy Context Distillation (OPCD), a training method that permanently embeds ...
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.
Association for Psychological Science

Mahzarin Banaji Is Probing the Black Box of LLMs

The former APS president asked ChatGPT to describe its implicit biases. Its answer steered her research in a whole new ...
SpaceNews

Boeing demonstrates large language model for space-grade hardware

In recent ground tests, Boeing engineers demonstrated that a large language model running on commercial off-the-shelf hardware could examine telemetry and report in natural language on the health of a ...
IEEE

Ensuring Resilience in Grid-Forming Photovoltaic Systems: Modeling and Mitigation of Temporary Overvoltages

Abstract: This paper presents a comprehensive modeling and simulation framework for evaluating temporary overvoltage (TOV) risks in photovoltaic (PV) systems utilizing grid-forming inverters (GFM). A ...
Journal of Medical Internet Research

How to Design, Create, and Evaluate an Instruction-Tuning Dataset for Large Language Model Training in Health Care: Tutorial From a Clinical Perspective

Moreover, we discuss strategies for metadata selection and human evaluation to ensure the quality and effectiveness of ITDs. By integrating these elements, this tutorial provides a structured ...