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 ...

WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning BEIJING, Jan. 05, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the ...

WiMi launched the MC-QCNN, a quantum convolutional neural network capable of processing multi-channel data for applications ...

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 ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

DynIMTS replaces static graphs with instance-attention that updates edge weights on the fly, delivering SOTA imputation and P12 classification ...

Physician-centric platforms support coordinated care Technology integrates delivery and care management nasdaq futures ...

Temporal graphs serve as a powerful framework for representing networks whose connections evolve over time. By incorporating time‐stamped interactions, these models capture the dynamic nature of ...

A research team has developed a new model, PlantIF, that addresses one of the most pressing challenges in agriculture: the ...

作者：李天一、陈奕君、紫晗编辑：李宝珠本文已获得研究团队授权发布，转载请联系本公众号并标明来源浙江大学的研究团队提出了一种地质约束的数据驱动成矿预测方法，通过将各向异性空间邻近关系与空间非平稳建模机制显式引入预测框架，实现对成矿异质性与方向性控制的定 ...