Category: Articles
Semantic fingerprints for IPTC classification
Information providers need to add value to the content they are producing. But tagging and classifying content to enrich internal knowledge bases is tedious, time consuming and error prone. Yet these knowledge bases are the cornerstone of value-added services. The patent-pending semantic fingerprints for IPTC classification from Kairntech provides a smart solution for multilingual text
Kairntech wins European Defense Fund project
We are proud to announce that Kairntech wins a European Defense Fund (EDF) project. This call for projects received in total €1,031 million of EU funding. Kairntech is a leading technology provider of the NEMO consortium which is led by Sintef AS (Norway). Over the course of this 5-year project NEMO will develop a state-of-the-art
GenAi for mental healthcare
The EU-funded Mindspeak project starts Digital mental healthcare interventions (DMHIs) powered by GenAI are a solution to provide accessible treatment for patients suffering from common mental health problems (i.e., depression and anxiety disorders). NiceDay‘s DMHIs platform is an academically verified effective tool for treating depression or anxiety disorders. Within the Mindspeak project this platform will
Kairntech RAG for forensics
Data analytics on Enron emails Kairntech RAG (Retrieval Augmented Generation) for forensics is one of the hottest use cases of Large Language Models. It allows to analyse internal information while benefitting from the power of LLMs. And all that without having to share the data with third parties or running costly retraining or finetuning campaigns.
COMMUTE project kick-off
Kairntech empowers EU-funded COMMUTE project that explores links between Covid and neurogenerative diseases Bonn, Dec 14-15. The EU Research project COMMUTE (“COMORBIDITY MECHANISMS UTILIZED IN HEALTHCARE”) has been kicked off. The participants met at a two day meeting at the International Center of Information Technology (B-IT) at University Bonn. Hosted and coordinated by the Fraunhofer
You have questions? Make your documents answer to you!
Kairntech Question Answering allows you to interact in natural language with your own content Finding answers to specific question in complex documents or large collections of documents can be a cumbersome effort, despite powerful search engine technologies. Often users find themselves trying different combinations of AND and OR and exact phrase searches and so on.
Use the power of LLMs on your own documents using Kairntech
Natural language questions and answers on local and confidential information Introduction Large Language Models (LLMs such as GPT) have sparked significant progress in the way, users can interact with text: they deliver impressive results on tasks such as text generation, text summarization and many other scenarios. The predominant mode of interaction with LLMs is using
Public Neo4J demo with Kairntech-powered content
As reported here, Kairntech has been working together with Fraunhofer SCAI to generate Knowledge Graphs by automatic relation extraction from scientific content. The output is this project was BEL, a graph language, specifically designed for the expression of biomedical facts. Another popular format to express, store and exchange Knowledge Graphs evidently is Neo4J’s Cypher: Kairntech
Kairntech as NLP platform in project “AI 4 Open Innovation”
The capabilities of Kairntech to support information analysis are employed in the research project AI4OI by TecIntelli and Fraunhofer IAO. As TecIntelli expert Tim Schloen declares: “In project “Artificial Intelligence 4 OpenInnovation” (AI4OI, funded by the german Bundesland Baden-Württemberg) we are using Kairntech to analyse technical and scientific literature on many different technology fields. In
Kairntech and Knowledge Graphs – a strong and logical alliance
Knowledge Graphs are an increasingly popular and powerful approach to organize information. They excel at the intuitiveness of the way they make complex data accessible. They also offer impressive performance allowing to address many otherwise difficult to compute tasks. Kairntech applies AI/NLP approaches to identify and structure knowledge that can be derived from text corpora.