The study identifies two main barriers that obscure AI’s materiality: the narrow focus on data extractivism and the ...

Scientists at St. Jude Children's Research Hospital have reconciled two closely related but contentious mechanisms underlying ...

New Relic's Ashan Willy talked about how they're instrumenting agentic systems for measurable ROI to maximize agentic AI.

A research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has proposed a novel model optimization algorithm—External Calibration-Assisted Screening (ECA)— that ...

Code summarization is the process of automatically generating brief and informative summaries of source code to aid in software comprehension and maintenance. In this paper, we propose a novel model ...

In the age of technology, Prerna Ramachandra, a leading industry expert in artificial intelligence, explores the ...

This paper presents a novel hybrid method that leverages the strengths of both extractive and abstractive techniques, with a particular focus on the T5 text-to-text transformer model. Our methodology ...

Liang and colleagues retrospectively compared Generative Pretrained Transformer 4 (GPT-4)’s comments on scientific papers to those of human peer reviewers. 2. Appropriate overlap between the comments ...

Useful Transformers is a library for efficient inference of Transformer models. The focus is on low cost, low energy processors to run inference at the edge. The initial implementation is aimed at ...