Abstract: Spiking neural networks (SNNs) offer an effective approach to solving constraint satisfaction problems (CSPs) by leveraging their temporal, event-driven dynamics. Moreover, neuromorphic ...
Dung Le, a distinguished software engineer and entrepreneur, has built an impressive career spanning prestigious technology companies and venture-backed startups. He holds a B.S. in Computer Science ...
Prateek Panigrahy is a senior data analytics leader based in Westlake, Texas, with over 16 years of experience in the Business Intelligence domain. With a solid educational foundation including a ...
Abstract: Ensuring constraint satisfaction in control systems without relying on accurate models is essential for real-world applications. Learning-based Reference Governors (LRGs) address this ...
JuLS is a Julia Local Search solver that combines Constraint Based Local Search (CBLS) and Constraint Programming (CP) to solve Constraint Optimization Problem (COP). It is to be seen as an open ...
Timefold Solver is an AI constraint solver for Python to optimize the Vehicle Routing Problem, Employee Rostering, Maintenance Scheduling, Task Assignment, School Timetabling, Cloud Optimization, ...
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