From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

If the FDA follows through with the proposed guidelines, and they are not fatally twisted by pressure from the medical ...

A large share of medicines developed today may never reach patients for a surprisingly simple reason: they cannot dissolve well enough in water. For most treatments, the oral route remains the gold ...

Discover how the Modified Dietz Method measures investment returns, factoring in cash flow timing and excluding skewing ...

The original version of this story appeared in Quanta Magazine. In 1939, upon arriving late to his statistics course at UC Berkeley, George Dantzig—a first-year graduate student—copied two problems ...

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get any better. In 1939, upon arriving late to his statistics course at the ...

Introduction: In unsupervised learning, data clustering is essential. However, many current algorithms have issues like early convergence, inadequate local search capabilities, and trouble processing ...

from cuopt.linear_programming import DataModel, Solve, SolverSettings import numpy as np from cuopt_mps_parser import ParseMps dm = ParseMps("Bug2.mps") sol = Solve ...

Abstract: Rate Splitting (RS) is a versatile and powerful technique for multi-antenna transmission. In this paper, we study the precoding optimization for RS, which is critically important for ...

Concrete sidewalks are essential for pedestrian safety, but over time, they can develop cracks, uneven surfaces, and other forms of deterioration. Proper maintenance ensures long-lasting durability ...