IEEE

Recursive GNNs for Learning Precoding Policies With Size-Generalizability

Abstract: Graph neural networks (GNNs) have been shown promising in optimizing power allocation and link scheduling with good size generalizability and low training complexity. These merits are ...
IEEE

A recursive discovery of fractional dynamics and its informed neural network framework with applications to heterogeneous transportation carbon emission forecast

Abstract: The provincial transportation carbon emissions (TCEs) in China exhibit spatiotemporal heterogeneous characteristics and have become increasingly unpredictable in recent years. To this end, ...
GitHub

SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning

Natural Language to SQL (NL2SQL) enables intuitive interactions with databases by transforming natural language queries into structured SQL statements. Despite recent advancements in enhancing ...
Nasdaq

This $4 Stock Could Be Your Ticket to Millionaire Status

It comes as no surprise that artificial intelligence is at the heart of the opportunity. This application of AI, in fact, is arguably one of the best uses of this young technology. The chief stumbling ...