Most languages use word position and sentence structure to extract meaning. For example, "The cat sat on the box," is not the ...

The human brain vastly outperforms artificial intelligence (AI) when it comes to energy efficiency. Large language models (LLMs) require enormous amounts of energy, so understanding how they “think" ...

A new study reveals that the capacity for social reasoning in large language models, a trait similar to the human “theory of mind,” originates from an exceptionally small and specialized subset of the ...

Summary: Researchers showed that large language models use a small, specialized subset of parameters to perform Theory-of-Mind reasoning, despite activating their full network for every task. This ...

Abstract: Deep neural networks (DNNs) are critical for obstacle recognition in autonomous driving, commonly used to classify objects like vehicles and animals. However, DNNs are vulnerable to ...

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...

Abstract: RNA-binding proteins (RBPs) are pivotal in regulating various biological processes, including RNA splicing and protein translation. Accurate classification of RBPs is crucial for ...

ABSTRACT: In recent years, with the frequent occurrence of global forest fires, fire prevention and control technology has become crucial. The advancement of artificial intelligence technology has ...