Scientific Research Publishing

Optimizing Computational Efficiency with Preliminary 2D CFD for Ground-Effect Flight Transit Vehicle Design ()

Lift, Drag, Computational Fluid Dynamics, Energy Analysis, L/D Efficiency Share and Cite: Suppes, A. and Suppes, G. (2025) ...

Google’s ‘Nested Learning’ paradigm could solve AI's memory and continual learning problem

Inspired by how the human brain consolidates memory, the 'Nested Learning' framework allows different parts of a model to ...
Tech Xplore on MSN

Researchers develop new algorithms for the efficient design of motorcycles in the digital environment

Researchers at Universidad Carlos III de Madrid (UC3M) have developed a set of innovative methods and algorithms that improve ...
Hosted on MSN

Brexit and austerity still causing 'major problems' for economy - Phillipson

The chaos of Brexit and years of austerity are to blame for the tax rises Rachel Reeves is expected to announce at the Budget, a Cabinet minister said. Education Secretary Bridget Phillipson insisted ...
Investopedia

Adverse Selection Explained: Definition, Effects, and the Lemons Problem

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
IEEE

Learning-Based Approach to Integrated Operational Optimization Problems in Robot-Assisted Multistation Warehouse Systems

Abstract: In the era of booming e-commerce and Internet of Things technology, robotic mobile fulfillment systems (RMFSs) have gained more and more use in logistics industry. While these systems ...
IEEE

Consensus-Based Particle Swarm Optimization-Assisted Trust-Tech Methodology for Multi-Solution Optimal Power Flow Problem

Abstract: Optimal Power Flow (OPF) is a constrained, high-dimensional, non-convex nonlinear programming problem that typically has multiple local optimal solutions. To address the issue where most ...