Stop drifting through AI transformation: The design principles that actually work

Will the application of AI reduce staff in pursuit of efficiency, or can we design systems that preserve human dignity, ...
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 ...

Mastering C#/.NET/.NET Core: A Comprehensive Collection of Programming Techniques and Practical Exercises

DotNetExercises is a collection focused on programming techniques in C#/.NET/.NET Core, covering commonly used syntax, algorithms, techniques, middleware, libraries, and real-world case studies.
IEEE

Design and Analysis of Optimization Method for Ultra-Wideband PA Based on Improved MOEA/D Algorithm Using Mixed Objective Function

Abstract: This article proposes a design and optimization method for Ultra-Wideband power amplifiers (PAs) using improved multiobjective evolutionary algorithm based on decomposition (MOEA/D) and ...
Medscape

Novel Algorithm Transforms Echocardiographic Assessment of Heart Filling Pressures

A new algorithm for estimating left ventricular filling pressure (LVFP) by echocardiography reduced indeterminate results to just two cases compared with 38 using previous guidelines, achieving 86% ...
Scientific Research Publishing

Optimization Design of Curved Wing Box Based on BP-Multi-Objective Genetic Algorithm ()

College of Aircraft Engineering, Nanchang Hangkong University, Nanchang, China. To address the conflict issues among structural mass, maximum deformation, and equivalent stress in traditional ...
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

A comparison of design algorithms for choosing the training population in genomic models

In contemporary breeding programs, typically genomic best linear unbiased prediction (gBLUP) models are employed to drive decisions on artificial selection. Experiments are performed to obtain ...