As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

A new AI developed at Duke University can uncover simple, readable rules behind extremely complex systems. It studies how systems evolve over time and reduces thousands of variables into compact ...

Like many rural school districts around the world, the educational systems in certain areas of the Netherlands are facing major challenges. Three schools in the town of Sneek made the decision to find ...

Learn the concept of in-context learning and why it’s a breakthrough for large language models. Clear and beginner-friendly explanation. #InContextLearning #DeepLearning #LLMs Supreme Court Deals ...

Deep Fusion Films has announced plans to make 12 new documentaries, employing the company’s artificial intelligence technology in the production process. In what it describes as a first-of-its-kind ...

It's no secret that developing and maintaining healthy relationships is a huge driver for happiness and longevity. An 87-year-long Harvard study found that social fitness is the No. 1 thing that leads ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...

Tensors are the fundamental building blocks in deep learning and neural networks. But what exactly are tensors, and why are they so important? In this video, we break down the concept of tensors in ...

WASHINGTON – The phone rings. It's the secretary of state calling. Or is it? For Washington insiders, seeing and hearing is no longer believing, thanks to a spate of recent incidents involving ...

Abstract: Due to the limitations of collection conditions and costs, public brain network datasets generally combine data from multiple sites. However, the difference among multi-source data collected ...