Since the advent of computer technology, artificial intelligence (AI), as an important branch, has gradually matured. Looking back at history, AI in the 1950s was largely confined to theoretical ...

In 2022, the release of the ChatGPT large model by OpenAI in the United States attracted global attention from the tech community, prompting Chinese tech companies to quickly follow suit by launching ...

Abstract: Source code summarization is the task of writing natural language descriptions of source code. The primary use of these descriptions is in documentation for programmers. Automatic generation ...

Annals of Mathematics, a distinguished journal of research papers in pure mathematics, was founded in 1884. Annals of Mathematics is published bimonthly with the cooperation of Princeton University ...

Firms that fail to shine light on their dark data risk ceding the high ground in insights and inviting risk exposures lurking ...

Baptist Medical Center, Department of Behavioral Health, Jacksonville, FL, United States Introduction: This study investigates four subdomains of executive functioning—initiation, cognitive inhibition ...

Abstract: It is shown that by representing sampled-data signals as functions of continuous time (as opposed to impulse trains and sequences), a simple and clear description becomes possible for ...

The rapid accumulation of protein sequence data, coupled with the slow pace of experimental annotations, creates a critical need for computational methods to predict protein functions. Existing models ...

This section focuses on the key features and methods for working with linear graphs. It demonstrates how to sketch graphs from rules, derive rules from graphs, and calculate key features such as the ...

The future of AI applications lies in moving beyond single-shot generation to modular systems composed of intelligent, ...

To illustrate, I’ve chosen the cases of Armenia, Vietnam, and Poland. These existing states share a history marked by porous ...

Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management.