Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Smart acoustic and ultrasonic systems that can adjust and optimise to their environments are changing the way connected ...

An in-depth look at AI girlfriend platforms, exploring context awareness, personalization, memory design, and their impact on ...

The dynamic average consensus (DAC) algorithm is to enable a group of networked agents to track the average of their time-varying reference signals. For most existing DAC algorithms, a necessary ...

The new quantum computing algorithm, called "Quantum Echoes," is the first that can be independently verified by running it on another quantum computer. When you purchase through links on our site, we ...

Enterprises expanding AI deployments are hitting an invisible performance wall. The culprit? Static speculators that can't keep up with shifting workloads. Speculators are smaller AI models that work ...

Abstract: In the past few years, path planning and scheduling became a high-impact research topic due to their real-world applications such as transportation, manufacturing and robotics. This paper ...

This paper presents a novel hybrid framework that integrates Zero-Phase filtering (ZP) with adaptive Least Mean Squares (LMS) filtering to enhance noise reduction in signal generation and processing ...

Introduction: We present Quantum Adaptive Search (QAGS), a hybrid quantum-classical algorithm for global optimization of multivariate functions. The method employs an adaptive mechanism that ...