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 ...
IEEE

Meta-MOGA: Meta-learning Multi-Objective Genetic Algorithm

Abstract: In the field of single objective optimization algorithms, learned evolutionary algorithms have achieved success in obtaining better performance than human-designed strategies. However, these ...

Learning The Most Rigorous Approaches To Validating Algorithms And Greatly Boosting AI Safety

Validating AI is increasingly getting societal attention. AI safety has been a low priority. No more. I explore validation as ...
eLife

Explainable machine learning-assisted exploration of chromatin dynamics reveals chromosome-specific response to serum starvation

This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...
IEEE

Toward Physician-Level Performance in Robot-Assisted Ankle Rehabilitation via Imitation Learning With Empirical and Temporal Adaptation

Abstract: Robot-assisted ankle rehabilitation training imitating physician’s professional techniques is highly important for promoting personalized training and improving clinical outcomes. In this ...
Scientific Research Publishing

Jamshidi, B., Ghorbani, N. and Rostamy-Malkhalifeh, M. (2025) Optimizing Lung Cancer Detection in CT Imaging: A Wavelet Multi-Layer Perceptron (WMLP) Approach Enhanced by ...

ABSTRACT: Liver cancer is one of the most prevalent and lethal forms of cancer, making early detection crucial for effective treatment. This paper introduces a novel approach for automated liver tumor ...