Physics-constrained AI boosts satellite weather accuracy

FAYETTEVILLE, GA, UNITED STATES, January 29, 2026 /EINPresswire.com/ -- Accurate atmospheric temperature profiles are ...
TMCnet

WiMi Studies Hybrid Quantum-Classical Inception Neural Network Model for Image Classification

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") ...
Beebom

What is Deep Learning in AI? Understanding How AI Really Works

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...
EurekAlert!

Targeted analysis of chemical structural characteristics at different scales is expected to deepen the understanding of gas adsorption mechanisms in metal–organic frameworks

For the detection of structural and functional features across different scales, the sensing distances of MOF atoms are defined. The geometric lengths of these sensing distances correspond to the ...
IEEE

Graph Convolutional Network for Point Cloud Understanding Through Homogeneity Partitioning

Abstract: Effectively capturing complex point cloud information is essential for advanced functionalities in consumer electronics, such as augmented reality, virtual simulations, and 3D printing.
Scientific Research Publishing

Zeiler, M.D. and Fergus, R. (2014) Visualizing and Understanding Convolutional Networks. In: Fleet, D., Pajdla, T., Schiele, B. and Tuytelaars, T., Eds.,

ABSTRACT: The COVID-19 pandemic has profoundly impacted global health, with far-reaching consequences beyond respiratory complications. Increasing evidence highlights the link between COVID-19 and ...
IEEE

Dynamic Scene Understanding for Autonomous Driving Using 2D-3D Convolution With Voxel Key Points

Abstract: With the growing emphasis on real-time 3D data processing in autonomous driving, robotics, and intelligent vehicles, the demand for efficient point cloud processing has expanded ...
marktechpost

Understanding Deep Neural Network (DNN)

A Deep Neural Network (DNN) is an artificial neural network that features multiple layers of interconnected nodes, also known as neurons. These layers include an input, multiple hidden, and output ...