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How are QA teams using machine learning to predict test failures in real time?

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

Measuring time at the quantum level depends on material symmetry

EPFL physicists have found a way to measure the time involved in quantum events and found it depends on the symmetry of the material. "The concept of time has troubled philosophers and physicists for ...
Tech Xplore

New AI system pushes the time limits of generative video

A team of EPFL researchers has taken a major step towards resolving the problem of drift in generative video, which is what ...
IEEE

Distributed Fixed-Time Algorithms for Time-Varying Constrained Optimization Problems

Abstract: In this article, the distributed form of the zeroing neural network for solving time-varying optimal problems is put forward. Compared with traditional centralized algorithms, distributed ...
IEEE

Solving the Problem of Vehicle Routing Problem With Time Window via Dual Adaptive Genetic Algorithm

Abstract: To address the Vehicle Routing Problem with Time Windows (VRPTW), this paper presents a novel Dual Adaptive Genetic Algorithm (DAGA). While numerous metaheuristic algorithms have been ...
Frontiers

Unraveling cardiac arrhythmia frequency: comparative analysis using time and frequency domain algorithms

During cardiac arrhythmia, the heart frequency is an important physiological parameter that can be identified by analyzing electrocardiogram (ECG) signals. However, the accuracy of the frequency ...