*Important notice: arXiv publishes preliminary scientific reports that are not peer-reviewed and, therefore, should not be regarded as conclusive, guide clinical practice/health-related behavior, or ...

*Important notice: arXiv publishes preliminary scientific reports that are not peer-reviewed and, therefore, should not be regarded as conclusive, guide clinical practice/health-related behavior, or ...

Researchers at NVIDIA unveil the groundbreaking nGPT architecture, normalizing transformer networks and enabling faster, more efficient AI training that outperforms traditional models across multiple ...

*Important notice: arXiv publishes preliminary scientific reports that are not peer-reviewed and, therefore, should not be regarded as definitive, used to guide development decisions, or treated as ...

Researchers explored how large language models (LLMs) can assist astronomy research but warned of ethical challenges, including hallucinations and over-reliance on these tools. They emphasize the need ...

*Important notice: arXiv publishes preliminary scientific reports that are not peer-reviewed and, therefore, should not be regarded as definitive, used to guide development decisions, or treated as ...

Georgetown University researchers reveal how AI is reshaping climate research worldwide, with China at the forefront of driving technological advances to combat climate change. Perspective: Climate ...

*Important notice: arXiv publishes preliminary scientific reports that are not peer-reviewed and, therefore, should not be regarded as conclusive, guide clinical practice/health-related behavior, or ...

*Important notice: arXiv publishes preliminary scientific reports that are not peer-reviewed and, therefore, should not be regarded as conclusive, guide clinical practice/health-related behavior, or ...

Despite being optimized for reasoning, OpenAI’s o1 model continues to show sensitivity to probability and task frequency, revealing the deep-rooted impact of autoregressive training even in ...

In an article recently published in the journal Future Internet, researchers examined how artificial intelligence (AI), mainly large language models (LLMs), can transform modern network engineering.

New research reveals that advanced self-supervised learning models, such as SimCLR and Barlow Twins, can significantly improve anomaly detection in sewer systems, even when defect data is ...