Nature

Deep Transfer Learning Applications in Image Classification

Deep transfer learning has emerged as a powerful paradigm in image classification, enabling models to leverage knowledge acquired from large, labelled datasets to perform effectively on new tasks with ...

MicroCloud Hologram Inc. Launches Deep Spiking Quantum Neural Network Technology for Noisy Image Classification

SHENZHEN, China, July 30, 2026 (GLOBE NEWSWIRE) -- (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, launched a Deep Spiking Quantum Neural Network (DSQ-Net) for noisy image ...

WiMi's Next-Generation Quantum Convolutional Neural Network Reshapes Classical Data Classification Methods

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, proposes a cutting-edge quantum machine learning technology ...
Psychology Today

A New AI Study May Explain Why Deep Learning Works

The resurgence of artificial intelligence (AI) is largely due to advances in pattern-recognition due to deep learning, a form of machine learning that does not require explicit hard-coding. The ...
Business Wire

GE HealthCare Expands Its Effortless Recon DL Portfolio, Bringing Advanced Deep Learning Image Reconstruction to Clinicians Worldwide

More than 80 percent of all health system visits include an imaging exam, i making radiology an essential part of diagnostics and healthcare and image quality a cornerstone of medicine. GE HealthCare ...
Nature

Deep Learning Applications for Urban Image Classification

Recent advances in deep learning have transformed the classification of urban imagery drawn from aerial, satellite and street-level sensors. Convolutional neural networks and vision transformers now ...