Research Reveals the Optimal Way to Optimize

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get ...

The Algorithmic Santa: A Federal View Of Holiday Economics As AI Agents Form Algorithmic Cartels

AI agents are becoming algorithmic customers and redefining holiday shopping, supply chains and trust while raising new ...
Scientific Research Publishing

Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms ()

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.
The City University of New York

CUNY Research Scholars Program (CRSP)

The CUNY Research Scholars Program (CRSP) is now in its 12th year. CRSP funds year-long research experiences for associate ...
Frontiers

Intelligent optimization of slope step parameters in open pit mines containing weak interbedded layers based on machine learning and multi-objective optimization methods

1 Faculty of Land Resources Engineering, Kunming University of Science and Technology Kunming, Kunming, China 2 Pangang Group Mining Company Limited Panzhihua, Panzhihua, Sichuan, China The stability ...
Supply Chain

How AI Can Turn Supply Chain Disruptions Into Bumps Rather Than Sinkholes

As supply chains grow more complex and regulatory environments tighten, AI-driven risk management is becoming a necessity. But what does that actually look like? There are five key elements of the ...
GitHub

ChemXploreML - Chemistry eXploration with Machine Learning

ChemXploreML is a user-friendly desktop application specifically designed to bring the power of machine learning to chemistry research. It streamlines the entire machine learning pipeline for ...
Frontiers

Optimization method of electric vehicle energy system based on machine learning

College of Mechanical and Electronic Engineering, Shanghai Jianqiao University, Shanghai, China Introduction: To enhance energy management in electric vehicles (EVs), this study proposes an ...
IEEE

An Effective Antenna Shape Optimization Framework Employing Machine-Learning-Based Approach

Abstract: A machine-learning-based framework for antenna shape optimization design is presented, which enables an accelerated design process for antennas. The employment of a self-supervised learning ...
news.bloomberglaw

Navigating a Patent Gap for AI and Machine Learning Algorithms

Patent applications on artificial intelligence and machine learning have soared in recent years, yet legal guidance on the patentability of AI and machine learning algorithms remains scarce. The US ...
Scientific Research Publishing

A Review of Intelligent Optimization Algorithms in Supply Chain Networks ()

1 School of Mathematics and Statistics, Sichuan University of Science and Engineering, Zigong, China. 2 Institute of Computational Mathematics and Scientific/Engineering Computing, Chinese Academy of ...