Tested with Maya 2023, 2025. v0.2.0 This project enables AI assistant clients like Claude Desktop to control Autodesk Maya through natural language using the Model Context Protocol (MCP). This is ...
Abstract: The present work focuses on the comprehensive implementation of gas/mixture identification employing chemometric analysis followed by on-chip realization. The chemometric analysis has been ...
Objective: To compare the application of the ARIMA model, the Long Short-Term Memory (LSTM) model and the ARIMA-LSTM model in forecasting foodborne disease incidence. Methods: Monthly case data of ...
Since launching its UPI service, the Derivative Service Bureau’s user base has doubled to more than 2000 users across 40 markets. In a brief explainer, DSB Managing Director Emma Kalliomaki speaks to ...
The prevailing wisdom in artificial intelligence suggests that bigger models yield better results. In our work for health insurance companies and third-party administrators of health plans, we’ve ...
Written by Ken Huang, CSA Fellow, Co-Chair of CSA AI Safety Working Groups and Dr. Ying-Jung Chen, Georgia Institute of Technology. This implementation guide provides a comprehensive, hands-on ...
Endless data collection occurs in the neonatal intensive care unit (NICU) among physicians tasked with taking care of one of the most vulnerable populations: young babies. Researchers in the ...
In this tutorial, we demonstrate how to evaluate the quality of LLM-generated responses using Atla’s Python SDK, a powerful tool for automating evaluation workflows with natural language criteria.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback