A third path to explain consciousness: Biological computationalism

Right now, the debate about consciousness often feels frozen between two entrenched positions. On one side sits computational ...

Kolmogorov-Arnold networks bridge AI and scientific discovery by increasing interpretability

AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...
GitHub

ESCNet:Edge-Semantic Collaborative Network for Camouflaged Object Detection

This repository is the official implementation of ESCNet:Edge-Semantic Collaborative Network for Camouflaged Object Detection For ease of use, we create a eval.sh script and a use case in the form of ...
IEEE

DAGMN: A Geometric and Semantic Detail Aware Gaussian Mixture Deep Neural Network for Land-Use/Land-Cover Classification of High-Resolution Remote Sensing Imagery

Abstract: The deep learning-based semantic segmentation of high-resolution remote sensing imagery plays a crucial role in the field of land-cover monitoring. With the gradual improvement of the ...
Forbes

TSA Warning—Do Not Use These Networks On Your Smartphone

TSA warning comes to life as man jailed for attack. Updated on Dec. 5 with expert security guidance for smartphone users when traveling, including how to avoid connecting to dangerous networks. Almost ...
TechNode

DeepSeek launches V3.2 models with integrated reasoning tool use

Click to share on X (Opens in new window) X Click to share on Facebook (Opens in new window) Facebook DeepSeek has released the V3.2 and V3.2-Speciale models across web, app, and API. The company said ...
IEEE

Asymmetric Network Based on Feedback and Transformer for Multispectral LiDAR Point Cloud Semantic Segmentation

Abstract: The 3-D point cloud semantic segmentation extends the development of computer vision. Accurate point cloud semantic segmentation is a fundamental problem in point cloud applications. However ...