Diffusion models are widely used in many AI applications, but research on efficient inference-time scalability, particularly for reasoning and planning (known as System 2 abilities) has been lacking.

A Comparative Study of AI-Powered Chatbot for Health Care. Journal of Computer and Communications, 13, 48-66. doi: 10.4236/jcc.2025.137003 . The need for this research arises from the increasing ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs through graph ...

Abstract The advent of the big data era has made data visualization a crucial tool for enhancing the efficiency and insights of data analysis. This theoretical research delves into the current ...

In this article we propose a new hashing framework for tree-structured data. Our method maps an unordered tree into a multiset of simple wedge-shaped structures refered to as pivots. By coupling our ...

The key idea is dynamically optimizing the tree structure that minimizes the bond mutual information. The proposed method offers enhanced performance and uncovers hidden relational structures in the ...

Utilizing Data Structures and Algorithms, JavaScript, and D3.js to visualize and explore tree structures, making complex data hierarchies more comprehensible and engaging.

2.2 Minimum spanning tree-based outlier detection MST is an important and widely used data structure in clustering analysis. MST-based clustering finds inconsistent edges and deletes them to form ...

Robust Principal Component Analysis (RPCA) offers a powerful tool for recovering a low-rank matrix from highly corrupted data, with growing applications in computational biology. Biological processes ...

A real-time document database should have an underlying data platform that provides quick ingest, efficient storage, and powerful queries while delivering fast response times.