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.

This study presents a potentially valuable exploration of the role of thalamic nuclei in language processing. The results will be of interest to researchers interested in the neurobiology of language.

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

This repository contains Matlab code to recreate the lists of random numbers used in white-noise experiments in the Gollisch lab. The random-number sequences are needed for analyzing the spike ...

Melissa Horton is a financial literacy professional. She has 10+ years of experience in the financial services and planning industry. Robert Kelly is managing director of XTS Energy LLC, and has more ...

Apple has updated its App Review Guidelines to expand the list of user-generated content experiences that can be removed from the App Store without notice. Here are the details. Apple’s App Review ...

A multivariate analysis of electroencephalography activity reveals super-additive enhancements to the neural encoding of audiovisual stimuli, providing new insights into how the brain integrates ...

Running MATLAB® inside a docker container can be challenging if you're building it on your own. Fortunately, we've done most of the work for you. This set of tutorials will walk you through the steps ...

Remember Lost in Random? Well, you should. Released in 2021, it got lost amongst bigger releases at the time — but it was a gorgeous, gothic action-adventure set in a striking fantasy world. You ...

Abstract: Several machine-learning algorithms have been proposed for remote sensing image classification during the past two decades. Among these machine learning algorithms, Random Forest (RF) and ...

We have all experienced it, standing in front of a classroom ready to start an engaging group activity but overwhelmed with the process of dividing students quickly and fairly. Here is where the ...

Abstract: The class of random features is one of the most popular techniques to speed up kernel methods in large-scale problems. Related works have been recognized by the NeurIPS Test-of-Time award in ...