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Tech Xplore

AI learns to follow predefined norms through a combination of logic and machine learning

Artificial intelligence is becoming increasingly versatile—from route planning to text translation, it has long become a ...
The Malaysian Reserve

WiMi Lays Out Scalable Quantum Convolutional Neural Network to Enhance Image Classification Accuracy and Efficiency

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

Why machines struggle with the unknown: Exploring the gap in human and AI learning

How do humans manage to adapt to completely new situations and why do machines so often struggle with this? This central question is explored by researchers from cognitive science and artificial ...
IMV Europe

Purdue creates algorithm to extract hyperspectral data from conventional photography

Purdue University researcher Young Kim and his team have combined computer vision, colour science and optical spectroscopy to create an algorithm that recovers detailed spectral information from ...

[Artificial Intelligence] Dark Horse - Artificial Intelligence and Data Mining

When Data Mining Meets Large Models: A New Paradigm of Data Value Mining in the Age of Artificial Intelligence ...
TMCnet

WiMi Lays Out Variational Quantum Algorithms for Multidimensional Data Task Processing

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced an in-depth study of the multidimensional ...

SITEC Partners with Deep Learning: The Disruptive Power of 3D SPI and 3D AOI Technologies

Recently, SITEC (301568) responded to investor inquiries on March 18, revealing the application of its core products, 3D SPI (Solder Paste Inspection) and 3D AOI (Automated Optical Inspection), in ...
IEEE

Aerial–Terrestrial Image Feature Matching: An Evaluation of Recent Deep Learning Methods

Abstract: The 3-D reconstruction of complex urban areas is becoming increasingly important for various applications. To achieve precise and complete 3-D reconstruction, current approaches aim to ...
IEEE

XRF Spectral Feature Extraction and Classification Method Based on the EO-CNN Deep Learning Model

Abstract: An XRF spectral feature extraction and classification method based on an EO-CNN model is proposed to address the complexities of soil spectral data and improve classification accuracy. The ...