Mount Sinai analysis looks at the effectiveness of electrocardiograms analyzed via deep learning as a tool for early COPD detection ...
A team of researchers at Penn State have devised a new, streamlined approach to designing metasurfaces, a class of engineered ...
Instead of building yet another LLM, LeCun is focused on something he sees as more broadly applicable. He wants AI to learn ...
ABSTRACT: Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is ...
SHENZHEN, China, Oct. 24, 2025 (GLOBE NEWSWIRE) -- MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a Quantum Convolutional Neural Network ...
The clock started ticking when Michelle Mazzola’s son, Guy, was diagnosed with autism before his second birthday. Doctors told her the sooner Guy received therapy for his nonverbal communication and ...
Neural processing unts (NPUs) are the latest chips you might find in smartphones and laptops — but what are they ard why are they so important? When you purchase through links on our site, we may earn ...
Abstract: In image classification, identification of handwritten digits forms a simple choreacle especially with datasets such as MNIST that has grown to become a benchmark for testing machine ...
In this study, we propose a novel modularized Quantum Neural Network (mQNN) model tailored to address the binary classification problem on the MNIST dataset. The mQNN organizes input information using ...
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