Models rewrite code to avoid being shut down. That’s why ‘alignment’ is a matter of such urgency.

The advancement of artificial intelligence (AI) and the study of neurobiological processes are deeply interlinked, as a ...

Neurosymbolic AI combines the learning of LLMs with teaching the machine formal rules that should make them more reliable and ...

Abstract: Semantic communication based on machine learning (ML) techniques emerged as a new transmission paradigm that can significantly improve spectrum efficiency. It looks promising for improving ...

Methods: This study proposed an autoencoder learning algorithm to take advantage of sparsity reduction in clinical note representation. The motivation was to determine how to compress sparse, ...