Project description
A super assistant for online readers
A whopping 5 million new articles are published online each day, and over 3 billion Google searches are conducted worldwide each minute of every day. Content expands exponentially, yet our capacity to read or study has remained largely unchanged. The EU-funded Kjuicer project addresses this gap: a curation and AI tool to prioritise and summarise content, so that readers can quickly assess it, then read and/or study it faster. The US and EU patented tool can extract relevant information and generate zoomable texts from simple highlights. The AI version does the same and can be trained with highlights, so that the user’s interests are used to create custom summaries.
Fields of science
- engineering and technologymaterials engineeringcolors
- social scienceseconomics and businessbusiness and managementcommercee-commerce
- social scienceseconomics and businesseconomicsproduction economicsproductivity
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
- social sciencespolitical sciencespublic administration
Programme(s)
Topic(s)
Funding Scheme
SME-1 - SME instrument phase 1
Coordinator
20149 Milano
Italy
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