MicroCloud Hologram’s approach uses a logarithmic encoding method to reduce the number of qubits needed, representing an N-dimensional feature space using just log (N) qubits. The system forms an ...

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 ...

Neuroscience continually strives to unravel the intricate relationship between neural network morphology, spiking dynamics, and their resulting functional ...

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 ...

“This decline is caused by zero-click behavior as AI systems generate and provide answers directly, bypassing websites ...

Abstract: This study presents an innovative framework leveraging Graph Neural Networks (GNNs) integrated with reinforcement learning (RL) and meta-learning for predictive energy optimization in ...

Abstract: In this paper, an artificial neural network (ANN) guided approach is developed for the repeater optimization in multilayer graphene on-chip interconnect networks. The key attribute of the ...