Despite the global acceleration in digital transformations across organizations in various sectors, many banks and bigger financial institutions are still using monolithic legacy applications designed ...

Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns and to ...

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

Quantum machine learning is a hybrid approach that combines classical data with quantum computing methods. In classical computing, data is stored in bits encoded as a 0 or 1. Quantum computers use ...

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 ...

1 School of Law, Shanxi University of Finance and Economics, Taiyuan, China 2 College of Public Management (Law), Xinjiang Agricultural University, Urumqi, China Background: The advancement of ...

This project allows users to work with advanced portfolio optimization using natural language, without writing code. It provides 9 specialized MCP tools covering everything from classic mean-variance ...

“To maximize the likelihood that applications and patents will be found eligible under Section 101 by the USPTO and courts [after Recentive], applicants should carefully craft a narrative of a ...

Digital marketing has a new force: AI SEO. As search engines become increasingly sophisticated and AI tools become mainstream, understanding how artificial intelligence has transformed search ...

The ability to rapidly regress the kinetic parameters from cyclic voltammograms is important for many laboratory automation endeavors. Inspired by how expert electrochemists can rapidly interpret ...