Recent advances in neural network methodologies have revolutionised the analysis and classification of chromosome images, streamlining traditionally labour‐intensive processes in cytogenetics. Modern ...

Hyperspectral image classification has emerged as a transformative technology in Earth observation, providing unprecedented detail through hundreds of contiguous spectral bands. Neural network ...

What are convolutional neural networks in deep learning? Convolutional neural networks are used in computer vision tasks, which employ convolutional layers to extract features from input data.

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a Quantum Convolutional Neural Network (QCNN) based on hybrid quantum-classical learning and ...

Machine learning with neural networks is sometimes said to be part art and part science. Dr. James McCaffrey of Microsoft Research teaches both with a full-code, step-by-step tutorial. A binary ...

Deep learning improves grape leaf variety identification, crucial for viticulture. Researchers optimized a DenseNet201 neural ...

Neural networks are algorithmic systems created based on the principle of the human nervous system. They consist of many ...

Dr. James McCaffrey of Microsoft Research says a neural network model is arguably the most powerful multi-class classification technique. A multi-class classification problem is one where the goal is ...

The famous first image of a black hole just got two times sharper. A research team used artificial intelligence to dramatically improve upon its first image from 2019, which now shows the black hole ...