In this article, we demonstrate how to do this by creating a verifiable and replicable method of prompt science that aids in prompt engineering. Specifically, we take inspiration from a rich ...

The research, led by scientists at Johns Hopkins University, finds that artificial intelligence systems fail at understanding social dynamics and context necessary for interacting with people and ...

The study, which analysed more than two million Al-related scientific research papers and Al invention patents from countries around the globe, is a collaborative effort between the International ...

We estimate the effect of social media deactivation on users’ emotional state in two large randomized experiments before the 2020 U.S. election. People who deactivated Facebook for the six weeks ...

The databases cover tens of millions of papers published in the twenty-first century. These are the most-cited research papers ... the neural-inspired algorithms that underpin deep learning ...

The top-100 list also includes papers on artificial intelligence (AI), research software and statistical methods. Nature’s news team also analysed records from two large research databases — D ...

This paper considers the role of land-air integration in achieving their suppression and destruction. Conventional deterrence of Russian aggression in the Euro-Atlantic area requires a demonstrable ...

So, download the content plan template and start planning for the year to create your best content yet. In a world ruled by algorithms, SEJ brings timely, relevant information for SEOs ...

The letters ask universities to submit information on research papers and grants by April 18. Additional details, such as grant descriptions and the number of staff assigned to administer each ...

Now, Colossal’s own researchers have claimed to journalists that their research has again adjusted ... for this shift outlined in a scientific paper, in a format where their techniques can ...

RSP Systems (RSP), the company developing the world’s first universal non-invasive glucose monitoring wearable, has had the results of a key study published by Nature Scientific Reports (Nature ...

Abstract: Sparse Bayesian Learning (SBL) is a popular sparse signal recovery method, and various algorithms exist under the SBL paradigm. In this paper, we introduce a novel re-parameterization that ...