WiMi Studies Hybrid Quantum-Classical Convolutional Neural Network Model

BEIJING, Oct. 23, 2025––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram ...
Tech Xplore on MSN

VFF-Net algorithm provides promising alternative to backpropagation for AI training

Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn ...
Wired

Fei-Fei Li Started an AI Revolution by Seeing Like an Algorithm

Early in the pandemic, an agent—literary, not software—suggested Fei-Fei Li write a book. The approach made sense. She has made an indelible mark on the field of artificial intelligence by heading a ...
Geeky Gadgets

Machine Learning vs Deep Learning vs Foundation Models

If you are interested in learning more about artificial intelligence and specifically how different areas of AI relate to each other then this quick guide providing an overview of Machine Learning vs ...
AZoOptics on MSN

Advances in Intelligent Photonics for Artificial Intelligence

In a recent article published in the journal Engineering, researchers presented a comprehensive review of the fast-growing ...

SEOULTECH Researchers Develop VFF-Net, A Revolutionary Alternative to Backpropagation That Transforms AI Training

Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn hidden patterns from various types of data, be it images, audio or text, to ...
Semiconductor Engineering

Using Deep Learning ADC For Defect Classification For Automatic Defect Inspection

In traditional semiconductor packaging, manual defect review after automated optical inspection (AOI) is an arduous task for operators and engineers, involving review of both good and bad die. It is ...
Mining Weekly

TOMRA Mining launches CONTAIN™: Deep learning classification for inclusion-type ore sorting

CONTAIN™ represents the next breakthrough in AI-powered ore sorting from TOMRA Mining – a deep learning solution purpose-built to classify complex inclusion-type ores with unprecedented accuracy. By ...
ascopubs.org

Volumetric Breast Density Estimation From Three-Dimensional Reconstructed Digital Breast Tomosynthesis Images Using Deep Learning

We retrospectively analyzed 1,080 nonactionable three-dimensional (3D) reconstructed DBT screening examinations acquired between 2011 and 2016. Reference tissue segmentations were generated using ...