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 ...

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, ...

The amino acid sequence of the transmembrane protein and its corresponding positions on the cell membrane are transformed into a hidden Markov process. After evaluating the parameters, the Viterbi ...

Mikel Hernaez receives funding from the Spanish Ministry of Science, Innovation and Universities, the government of Navarra, the EU Department of Defence, the Carlos III Health Institute and the ...