Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...

Abstract: Fast and efficient collision detection is essential for motion generation in robotics. In this paper, we propose an efficient collision detection framework based on the Signed Distance Field ...

Sign up for CNN’s Wonder Theory science newsletter. Explore the universe with news on fascinating discoveries, scientific advancements and more. A collision ...

(CNN) — A collision observed between two black holes, each more massive than a hundred suns, is the largest merger of its kind ever recorded, according to new research. A team of astronomers ...

Two massive black holes just collided in deep space, forming a single cosmic monster 225 times the mass of our Sun. This is the largest black hole merger ever recorded by gravitational wave detectors ...

The very concept of black holes seems improbable. Albert Einstein infamously refused to believe they could exist, even though his theory of general relativity was instrumental in predicting them. Now, ...

An innovative algorithm for detecting collisions of high-speed particles within nuclear fusion reactors has been developed, inspired by technologies used to determine whether bullets hit targets in ...

Abstract: Aiming at the problems of poor real-time and low accuracy of the existing industrial robot collision detection technology, a collision detection method based on recurrent neural network (RNN ...

‍DALLAS — A Traffic Alert and Collision Avoidance System (TCAS), or an Airborne Collision Avoidance System (ACAS), is an anti-collision system that prevents mid-air collisions (MACs) between airplanes ...