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

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

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 ...

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

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

Machine learning methods enable computers to learn without being explicitly programmed and have multiple applications, for example, in the improvement of data mining algorithms.

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

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 ...

The advancement of technology in unmanned vehicles, including aerial, surface, and underwater platforms, has led to widespread applications such as ...