Abstract: We present ReLU-QP, a GPU-accelerated solver for quadratic programs (QPs) that is capable of solving high-dimensional control problems at real-time rates. ReLU-QP is derived by exactly ...

This project implements two approaches to Support Vector Machine classification on the classic Iris dataset: (1) scikit-learn's optimized SVC library, and (2) a hand-built QP solver using cvxopt. By ...

Abstract: We propose a quantum-assisted framework for solving constrained finite-horizon nonlinear optimal control problems using a barrier Sequential Quadratic Programming (SQP) approach. A quantum ...

np-complete-program-solver/ ├── src/ │ ├── problems/ # NP-complete 문제 정의 │ ├── solvers/ # 다양한 솔버 구현 │ │ ├── traditional/ # 전통적 알고리즘 │ │ ├── ml/ # 머신러닝 기반 │ │ └── llm/ # LLM 기반 │ ├── models/ # ML 모델 정의 ...

CES 2026 has officially kicked off with the annual CES Unveiled event, where tech companies of all sizes showcase their unique new products. One of those more unique items this year is Solver, a small ...

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Knowledge representation is a fundamental aspect of AI, which allows machines to understand, think, and even make choices ...

A game of chess requires its players to think several moves ahead, a skill that computer programs have mastered over the years. Back in 1996, an IBM supercomputer famously beat the then world chess ...

Social Security may be a program for a majority of American workers, but younger generations are balking at paying more to secure the faltering system if it doesn’t guarantee them their own benefits ...

PPA constraints need to be paired with real workloads, but they also need to be flexible to account for future changes.