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 ...

Researchers designed and optimized a grid-connected hybrid energy storage system that combines solar PV, batteries, and ...

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

Despite data gaps in many countries, the burden of sickle cell disease, especially in west and central Africa, underscores ...

Watches and Wonders 2026 is finally upon us in Geneva, and brings with it a brilliant lineup of watch brands with their ...

Google's Agent Development Kit for Java reached 1.0, introducing integrations with new external tools, a new app and plugin ...

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

aNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, ...

Cloud automation uses software to handle tasks like setting up servers or deploying applications, cutting down on manual work ...