diginomica

From data streaming to AI context - how Confluent is re-defining its role in the generative AI era

Confluent is positioning itself as the "context layer for enterprise AI" with new capabilities that aim to solve the problem ...

MicroCloud Hologram Inc. Releases Hybrid Quantum-Classical Convolutional Neural Network, Achieving New Breakthrough in MNIST Multi-Class Classification

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 ...
GitHub

[Detection]No bounding boxes rendered on output image despite successful JSON prediction

The code detection_example.py successfully returns a result dictionary (printed below), which clearly shows that the model generated valid bounding box predictions in the raw_output field.
IEEE

High-Precision Encrypted Image Retrieval Scheme Using Dual-Stream Convolution Feature Fusion in Cloud Computing

Abstract: The retrieval of encrypted images in cloud computing is a research hotspot at present. However, the existing schemes have the problem of low image retrieval accuracy since it is difficult to ...
IEEE

A Nonlinear Weighted Graph Convolution Network Based on Manifold Geometric Regularization for Hyperspectral Image Classification

Abstract: Extracting spatial–spectral joint features has become a critical approach for improving model classification performance in the field of hyperspectral image classification (HSIC). However, ...