Calculations show that injecting randomness into a quantum neural network could help it determine properties of quantum ...
A research team led by Hiroshima University and Tokyo University of Agriculture and Technology have proposed a neuroendocrine ...
TensorFlow is an open-source machine learning framework built by Google, and this 100-second video explains how it works from ...
A team of researchers at Penn State have devised a new, streamlined approach to designing metasurfaces, a class of engineered ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...
A new technical paper titled “Hardware Acceleration for Neural Networks: A Comprehensive Survey” was published by researchers ...
Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...
FAYETTEVILLE, GA, UNITED STATES, December 31, 2025 /EINPresswire.com/ — Artificial intelligence (AI) is increasingly transforming computational mechanics, yet many AI-driven models remain limited by ...
This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
Artificial intelligence is colliding with a hard physical limit: the energy and heat of conventional chips. As models scale ...
Abstract: In recent years, Convolutional Neural Networks (CNNs) have emerged as powerful tools for solving complex real-world problems, particularly in the domain of image processing. The success of ...