As Large Language Models (LLMs) are widely used for tasks like document summarization, legal analysis, and medical history evaluation, it is crucial to recognize the limitations of these models. While ...

This paper first obtains the driving data of multi-control surfaces through the “Haitun 1” research experimental ship conducting maneuverability experiments offshore, and performs data noise cleaning ...

Recently, spoken language models (SLMs) have been highlighted as next-generation technology that surpasses the limitations of ...

I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

Detection of human voice types in the context of choir as a learning medium using CNN and MFCC. This research aims to classify the type of human voice so that it can be divided into four labels, ...

Researchers have used machine learning to dramatically speed up the processing time when simulating galaxy evolution coupled with supernova explosion. This approach could help us understand the ...

Semiconductor processing is notoriously challenging. It is one of the most intricate feats of modern engineering due to the ...

To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

The study’s authors note that small neural networks — simplified versions of the neural networks typically used in commercial ...