Our Goal In the fast-evolving landscape of AI, we saw an opportunity to revolutionize local election coverage in our newsroom by reducing manual, repetitive tasks so our journalists could focus on ...

Learn prompt engineering with this practical cheat sheet covering frameworks, techniques, and tips to get more accurate and ...

This study presents valuable findings by reanalyzing previously published MEG and ECoG datasets to challenge the predictive nature of pre-onset neural encoding effects. The evidence supporting the ...

This week, INMA members heard how Kompas Daily and Reuters are using AI tools to improve news investigations and analyse data ...

AI is transforming research. These AI tools for research will help you keep up with the times and take your research to the next level.

Flame 2027 adds frame metadata retention, annotations, Depth maps, and OCIO 2.5.1, plus OTIO import and Rocky Linux 9.7 ...

Danquah, P. and Bekoe, S. (2026) Cyber Deception and Theft: A Critical Review. Journal of Information Security, 17, 149-166.

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

Background Current automatic software uses a fixed apparent diffusion coefficient (ADC) threshold (≤620×10⁻⁶ mm²/s) to ...

Are you passionate about cutting-edge research that bridges the digital and physical worlds? The School of Internet of Things at XJTLU is seeking talented researchers to join our innovative project on ...

In this Python for beginners tutorial, you will learn the essentials for data analysis. The tutorial covers how to install Python using Anaconda and set up Jupyter Notebook as your code editor. You ...

Medical free texts such as pathology reports contain valuable clinical data but are challenging to structure at scale. Traditional natural language processing approaches require extensive annotated ...