News

Which Domestic Low-Code Platforms Are the Most Useful? A Comprehensive Analysis of the Top 5 Platforms

It is against this backdrop that low-code development platforms have emerged as a key driving force in the wave of enterprise ...
EurekAlert!

Algorithm optimizes robot teamwork for efficient manufacturing assembly

Stanford researchers have developed an innovative algorithm that improves the manufacturing assembly process by effectively ...
Semiconductor Engineering

KAN Acceleration: Algorithm Hardware Co-Design Approach (Georgia Tech, National Tsing Hua Univ., TSMC)

A new technical paper titled “Hardware Acceleration of Kolmogorov-Arnold Network (KAN) in Large-Scale Systems” was published ...
EBU Technology & Innovation

And that's a wrap! Conclusion of the veraAI project on AI against disinformation, and next steps

After 3 years of research and development of AI-based fact-checking tools, both for and with media professionals, the Horizon ...
SciELO

Optimum Design of truss structures considering nonlinear analysis and dynamic loading using metaheuristic algorithms

The structural optimization of trusses is a complex problem that can be affected by many different factors. In this research, the authors investigated the optimization of trusses performing a ...
IEEE

Improved Analysis and Design of ADR Algorithm for Energy-Efficient LoRaWAN System

Abstract: For an energy-efficient adaptive data rate (ADR) algorithm in a long-range wide-area network (LoRaWAN) system, an asymptotic analysis on the spreading factor (SF) by the ADR-MIN algorithm ...
Frontiers

Early detection of sepsis using machine learning algorithms: a systematic review and network meta-analysis

Background: With machine learning (ML) carving a niche in diverse medical disciplines, its role in sepsis prediction, a condition where the ‘golden hour’ is critical, is of paramount interest. This ...