Reactive planning and control capacity for collaborative robots is essential when the tasks change online in an unstructured environment. This is more difficult for collaborative mobile manipulators ...

Explosive crushing videos with powerful destruction you can’t miss. Major changes to US pensions being considered by Congress 'Mormon Wives' is clashing with core LDS values and America is eating it ...

A law in effect for less than two weeks is already wreaking havoc all over the internet. The United Kingdom law—called the Online Safety Act—is purportedly about protecting children. The best I can ...

Earlier this month astronomers were thrilled to discover only the third known interstellar object ever seen in our solar system. Now dubbed 3I/ATLAS, the suspected comet has just zoomed past the orbit ...

An interstellar object called 3I/ATLAS is passing through our solar system this year, NASA announced yesterday. Today at 6 p.m. ET, you can see it for yourself, thanks to a livestream from the Virtual ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

Poster Description: How can librarians create meaningful online learning experiences outside of credit-bearing courses? This poster briefly introduces the benefits of metacognitive learning and shares ...

ACRL announces the publication of Instructional Design for Teaching Information Literacy Online: A Student-Centered Approach, by Janna Mattson, David X. Lemmons, Valerie Linsinbigler, and Christopher ...

During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the semester, there was a lecture about neural networks. This ...

Humanoid Sensing and Perception Group, Istituito Italiano di Tecnologia, Genoa, Italy This research report introduces a learning system designed to detect the object that humans are gazing at, using ...

Abstract: Deep learning object detection algorithms, due to their powerful feature learning capabilities, can effectively improve the accuracy of target detection in remote sensing images. However, ...