In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate ...

AI-powered spectral sensor performs machine learning during light capture, identifying materials and chemicals in real time ...

A security device made from gold nanoparticles uses light alone to create, verify, and reset uncopyable identities, enabling ...

A Cornell University fellow develops strategies to extract more than correlations from algorithms’ predictions.

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

Brookhaven National Laboratory have developed a novel artificial intelligence (AI)-based method to dramatically tame the ...

Boris Kiefer, New Mexico State University physics professor, is a co-principal investigator on a project to turn fundamental quantum science into practical technologies that could ...

In simulations involving a 50-node IoT network, Dual Perigee reduced block-related delays by 48.54% compared to the standard ...

Low-rank data analysis has emerged as a powerful paradigm across applied mathematics, statistics, and data science. With the rapid growth of modern datasets in size, dimensionality, and complexity, ...

Quantum computing is an emerging paradigm that leverages the principles of quantum mechanics to solve computational problems beyond the reach of classical computers. This article provides an overview ...

Researchers have successfully used a quantum algorithm to solve a complex century-old mathematical problem long considered impossible for even the most powerful conventional supercomputers. The ...