Quantum geometry describes quantum states in systems with changing system parameters, such as an electron spinning in a magnetic field whose direction is slowly changing. The state of the electron ...

The integration of algorithmic trading with reinforcement learning, termed AI-powered trading, is transforming financial markets. Alongside the benefits, it raises concerns for collusion. This study ...

Discrete mathematics is about precision in reasoning as much as it is about solving problems. Proof techniques like induction, contradiction, and direct reasoning are used to establish results in ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, announces the launch of its latest core technology — the Efficient Deterministic Quantum State ...

Abstract: Deep-learning is widely used in modulation classification to reduce labor and improve the efficiency. Graph convolutional network (GCN) is a type of feature extraction network for graph data ...

From Facebook friend circles to hidden influencer groups, community detection in social networks is evolving fast. Researchers are combining deep learning, graph neural networks, and advanced ...

Abstract: This paper focuses on the integration of Graph Convolution Network and Graph Attention Network, two cutting-edge models in graph neural networks, aiming to explore a new paradigm of graph ...

We study price competition when one firm uses a pricing algorithm that can react quickly to a rival’s price. We characterize a coercive equilibrium in which the algorithm encodes a persistent rule ...