Japanese researchers develop an adaptive robot motion system that enables human-like grasping using minimal training data.

Implement Logistic Regression in Python from Scratch ! In this video, we will implement Logistic Regression in Python from Scratch. We will not use any build in models, but we will understand the code ...

Gaussian Splatting is a cutting-edge 3D representation technique that models a scene as a set of learnable 3D Gaussian primitives. Each Gaussian defines a point in space with position, color, opacity, ...

This important work introduces a family of interpretable Gaussian process models that allows us to learn and model sequence-function relationships in biomolecules. These models are applied to three ...

This paper proposes a novel approach combining prior physics-based Gaussian Process Regression (GPR) with Bayesian Optimization for efficient and accurate electromagnetic near-field scanning. By ...

Hi, I’m trying to set up GaussianObject on Ubuntu 22.04 with Python 3.10 and CUDA 11.8. Created a virtual environment Installed PyTorch 2.2.0 + CUDA 11.8 Installed ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...

Abstract: Scanning Electron Microscopy (SEM) images often suffer from noise contamination, which degrades image quality and affects further analysis. This research presents a complete approach to ...

Tunnels constitute a prevalent form of underground infrastructure, the construction of which entails a multitude of risks and challenges (Kim J. et al., 2022; Liu et al., 2022). Tunnel water inflow ...