A hacker exploited Anthropic PBC's artificial intelligence chatbot to carry out a series of attacks against Mexican ...

Abstract: Point cloud upsampling (PCU) aims to transform sparse and unevenly distributed point clouds into dense and uniform counterparts with intricate geometric details of real-world objects.

Abstract: Existing airborne laser scanning (ALS) point cloud semantic segmentation approaches are limited by their overreliances on sufficient point-wise annotations that further confine their ...

Reported sales nil Reported sales nil Net loss of Computer Point reported to Rs 0.14 crore in the quarter ended December 2025 as against net profit of Rs 0.02 crore during the previous quarter ended ...

Abstract: Raw face point clouds obtained from scanning are often incomplete, resulting in a loss of structural details and posing challenges for many tasks, such as facial surgery navigation, face ...

Abstract: We propose a generative adversarial network for point cloud upsampling, which can not only make the upsampled points evenly distributed on the underlying surface but also efficiently ...

Abstract: Point cloud completion concerns the inference of the completed geometries for real-scanned point clouds that are sparse and incomplete due to occlusion, noise, and viewpoint. Previous ...

Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...

Abstract: Affective brain–computer interfaces (aBCIs) are an emerging technology that decodes brain signals—primarily electroencephalography (EEG)—to monitor and regulate emotional states in real time ...

New investors, including National Grid Partners, Gresham House Ventures and Morpheus Ventures, validate growing demand for modular, scaling networking technologies within quantum computing. The ...

Owing to its outstanding parallel computing capabilities, quantum computing (QC) has been a subject of continuous attention. With the gradual maturation of QC platforms, it has increasingly played a ...

Abstract: This paper presents a novel robust and accurate normal-assisted learning-based rigid point set registration approach, i.e., Deep Bi-directional Hybrid Mixture Registration (DeepBHMR), where ...