Alibaba's Metis agent cuts redundant AI tool calls from 98% to 2% — and gets more accurate doing it

Alibaba's HDPO framework trains AI agents to skip unnecessary tool calls, cutting redundant invocations from 98% to 2% while ...
IEEE

Automated Identification of Adolescent Stressors Using a Python-Based Quantitative Content Analysis Algorithm

Abstract: This study proposes an automated quantitative content analysis algorithm, implemented in Python, to optimize the item generation process of adolescent stressor measurement tools and to ...
Scientific Research Publishing

A Study on Consumer Preferences for Electric Vehicle Charging and Battery Swapping Based on User-Generated Content Analysis ()

With the rapid expansion of the new energy vehicle (NEV) market, charging and battery swapping have emerged as the two ...
Hosted on MSN

Master MATLAB for real-world engineering success

From aerospace simulations to data analysis and robotics, MATLAB is a powerhouse for engineering students and professionals. With tools for modeling, optimization, and hardware integration, it bridges ...
The Manufacturer

The AI-powered R&D department: how agentic AI is supercharging engineering velocity

Industrial R&D teams sit on a goldmine of testing and operational data. But until now, unlocking that data required costly, ...