Banks, miners and police forces in Australia are among those using graph databases to provide the context and data relationships needed for more accurate and trustworthy AI, moving projects from exper ...

Whenever we mull over what film to watch on Netflix, or deliberate between different products on an e-commerce platform, the ...

A collaborative research team led by Professor Pan Feng from the School of New Materials at Peking University Shenzhen ...

This study proposes a comprehensive strategy to optimize the operation of real-world gas pipeline networks and support decision-making. The goal is to improve environmental sustainability by ...

HPR-LP: A GPU Solver for Linear Programming. Contribute to PolyU-IOR/HPR-LP development by creating an account on GitHub.

A revision of an earlier DI using three-discrete solution interface a PWM to switching regulator and a method to decrease settling time.

There is a need for design strategies that can support rapid and widespread deployment of new energy systems and process technologies. In a previous work, we introduced process family design as an ...

The envisaged algorithms are numerical solvers based on graph structures. In this article, we focus on kinematics and dynamics algorithms, but examples such as message passing on probabilistic ...

This study proposes LiP-LLM: integrating linear programming and dependency graph with large language models (LLMs) for multi-robot task planning. For multi-robots to efficiently perform tasks, it is ...

Knowledge graph is a semantic network that abstracts data into points and edges, which contains logical and structural information. In order to mine the potential facts, the reasoning algorithm of the ...

A self-taught Google engineer recommends eight valuable Google programming courses that can be audited or accessed for free.