Density functional theory is computational technique used to predict the properties of molecules and bulk materials. It is a method for investigating the electronic structure of many-body systems ...

This acts as the main point of equilibrium between supply and demand. Step 3: Calculate the Support and Resistance Levels Once PP is determined, support and resistance levels are also calculated ...

Abstract: Point cloud registration is the foundation of collaborative multi-robot mapping tasks in outdoor environments. Due to the dynamic changes in communication bandwidth, the density of point ...

Abstract: This article investigates a novel robust Kalman filter (RKF) by incorporating kernel density estimation (KDE) in the Kalman filtering framework to address the disturbance of measurement ...

Apple has been working to harden the XNU kernel that powers its various operating systems, including iOS and macOS, with a feature called "exclaves." The term appears to have first surfaced in a libc ...

He noted that studies have explored this topic extensively. For better context, here are some examples—though Soon did not mention them in the interview: Hermann Weyl, a German mathematician ...

Liger Kernel is a collection of Triton kernels designed specifically for LLM training. It can effectively increase multi-GPU training throughput by 20% and reduces memory usage by 60%. We have ...

What is a Point Cloud? A point cloud is basically a large collection of points that are placed on a three-dimensional coordinate system. Point cloud files greatly speed the design process by providing ...

To overcome this, it was suggested to calculate edge weights as the distance from the area of most probable values by using a kernel density estimation ... one to visually identify key features (see ...

Provides the fast, adaptive kernel density estimator based on linear diffusion processes for one-dimensional and two-dimensional input data as outlined in the 2010 paper by Botev et al. The reference ...