From equations to intelligence: the future of AI-driven computational mechanics

FAYETTEVILLE, GA, UNITED STATES, December 31, 2025 /EINPresswire.com/ — Artificial intelligence (AI) is increasingly transforming computational mechanics, yet many AI-driven models remain limited by ...
Scientific Research Publishing

Research on the Optimization Strategy of Integrating VR into Ideological and Political Courses in Colleges and Universities from the Perspective of College Students

Virtual Reality, Ideological and Political Education in Colleges and Universities, Red Culture, Teaching Optimization Zhang, Q. and Yu, Y. (2026) Research on the Optimization Strategy of Integrating ...
eLife

A differentiable model for optimizing the genetic drivers of synaptogenesis

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
TMCnet

Quantum Computing in Financial Services Market Set to Reach USD 6.3 Billion by 2032 as Banks Move from Experimentation to Quantum Advantage | DataM Intellige…

AUSTIN, Texas and TOKYO, Dec. 29, 2025 /PRNewswire/ -- According to DataM Intelligence, the Quantum Computing in Financial ...
IEEE

An Evolutionary Algorithm for Solving Large-Scale Robust Multiobjective Optimization Problems

Abstract: Robust multiobjective optimization problems (RMOPs) widely exist in real-world applications, which introduce a variety of uncertainty in optimization models. While some evolutionary ...

This Is Your AI On Drugs: AI Hallucination And Optimization Fatigue

AI hallucination is often misread as creativity. This explains why it’s a symptom of optimization fatigue, and what that ...
IEEE

A Survey of Recent Advances in Optimization Methods for Wireless Communications

Abstract: Mathematical optimization is now widely regarded as an indispensable modeling and solution tool for the design of wireless communications systems. While optimization has played a significant ...
Scientific Research Publishing

Rao, R.V., Savsani, V.J. and Vakharia, D.P. (2011) Teaching-Learning-Based Optimization: A Novel Method for Constrained Mechanical Design Optimization Problems. Computer-Aided ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
Frontiers

Robust multi-objective optimization framework for performance-based seismic design of steel frame with energy dissipation system

1 Guangzhou Institute of Building Science Group Co., Ltd., Guangzhou, Guangdong, China 2 Glenn Department of Civil Engineering, Clemson University, Clemson, SC, United States Modern seismic codes ...
GitHub

BOCoDe: Benchmarks for Optimization and Computational Design

We present BOCoDe, a Python and PyTorch-based library that contains the most comprehensive suite of engineering design optimization problems and an interface to popular synthetic optimization problems ...
Brown University

Faster topology optimization: An emerging industrial design technique gets a speed boost

A new algorithm helps topology optimizers skip unnecessary iterations, making optimization and design faster, more stable and more useful. PROVIDENCE, R.I. [Brown University] — With the rise of 3D ...