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 ...
In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate safely and efficiently using a Transformer model.
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 ...
The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...
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 ...
Surface waves have proven to be valuable instruments in subsurface investigation, finding applications in diverse fields such as hydrocarbon and mineral resource exploration. The computation of ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results