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 ...

Discrete mathematics gets easier when you know how to approach proofs. Direct reasoning, induction, and contradiction each have specific steps that can be learned and practiced. Pairing these methods ...

It’s been half a century since quantum computing was first proposed. But for most of blockchain’s history, the idea of ...

OpenAI’s GPT-5.5 achieved a 93/100 score in ZDNET’s 10-part evaluation, showing strong performance in coding, reasoning, and creative writing. The model excelled in tasks from algorithmic ...

Abstract: Through optimizing discrete labels directly, discrete clustering technique enables to address potential information loss issue in spectral clustering caused by multi-stage label processing.

Alibaba's Qwen team has developed a new training algorithm for reasoning models that assigns different weights to individual tokens based on how much each step influences the subsequent chain of ...