Intuitive Machines' Nova-C lander on the moon in this IM-1 mission animation. Credit: Space.com | animation courtesy: Intuitive Machines | edited by Steve Spaleta] Music: Echolocation by Laura Platt / ...
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
In Proceedings of the SIGGRAPH Asia 2025 Conference Papers, a research team affiliated with UNIST reports a new AI technology that can animate 3D characters to mimic the exact movements shown in a ...
Abstract: Magnetic lens, with its specific superconducting material structure, spatially concentrates magnetic flux, making it highly significant for the development of compact high-field systems.
Abstract: Adversarial phenomena have been widely observed in machine learning (ML) systems, especially those using deep neural networks. These phenomena describe situations where ML systems may ...
Official PyTorch implementation of "PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation". This work has been accepted to CVPR 2024. Abstract: Existing point cloud ...
This project presents an exhaustive analysis of machine learning techniques for detecting malicious PDF files. By comparing the performance of four binary classification models - Support Vector ...
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