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THE IRIS.AI TECHNOLOGY

Iris.ai has spent the last 5 years building an award-winning AI engine for scientific text understanding. Our algorithms for text similarity, tabular data extraction, domain-specific entity representation learning and entity disambiguation and linking measure up to the best in the world. On top of that our machine builds a comprehensive knowledge graph containing all entities and their linkages to allow humans to learn from it, use it and also give feedback to the system. Applying these on scientific and technical text is a complicated challenge few others can achieve.

Text similarity metrics

Text similarity metrics

Document categorization

Document categorization

Abstractive Summarization

Abstractive Summarization

Table information extraction

Table information extraction

Table and text linking

Table and text linking

Causal relations

Causal relations

Compositionality

Compositionality

Domain specific training

Domain specific training

Self-evaluation

Self-evaluation

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LATEST NEWS

#LifeMotto Monday! ☀️ Today’s motto comes from Ioana.

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#MeetTheTeam

The team is growing and we welcome our new Master thesis research intern - Ioana Frincu.
When asked about her favorite thing about Iris, she shared “The people and the dedication and passion put into research”. Welcome to the team Ioana! 👋

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Are you an investor? Meet @Jacobo , the President & Co-Founder of Iris. ai tomorrow and in Paris! 🇫🇷

When: 7 March 2023, from 8:45 AM to 18:00 PM (CET).
Where: https://eic.eismea.eu/community/events/eic-euroquity-bpifrance-deep-tech

#investor #InvestorDay #EIC

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Join the webinar to learn more about how AI can help collect and systematize knowledge in Material Science.

WHEN: 28 February 2023, 4pm CET
REGISTER HERE: https://buff.ly/3xGdHKL

It’s free and everyone who registers will receive a recording of the webinar ✨

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Thank you NORA – The Norwegian Artificial Intelligence Research Consortium for inviting us over today to CuttingEdgeAI where we shared our opinions and experiences about Large (and small and smart) Language Models. It was great to connect with other people!

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#MustRead: @TheIrisAI’s CTO and co-founder discusses the growth of the AI industry – particularly large language models – and how the tech will be adopted. https://www.siliconrepublic.com/enterprise/large-language-models-ai-iris-victor-botev

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Meet @twitnitnit speaking at the "CuttingEdgeAI" event tomorrow where she will talk about the importance of factuality and building computationally efficient AI that gets the facts right.

When: TOMORROW (21st February)
Where: https://www.nora.ai/events/cutting-edge-ai-large-language-models.html

See you there! ✌️

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Read the interview with Victor Botev, the CTO and Co-founder of http://Iris.ai, about the growth of the AI industry – particularly large language models – and how the tech will be adopted.

https://www.siliconrepublic.com/enterprise/large-language-models-ai-iris-victor-botev

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@TheIrisAI's #AI engine addresses the problem researchers face regarding the overwhelming volume of published research. Get more information at: https://www.datanami.com/2023/01/12/research-platform-iris-ai-awarded-15m-by-european-innovation-council/

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German startup @Aleph__Alpha believes that Europe can compete with OpenAI. Victor Botev, the CTO and Co-Founder of http://Iris.ai, says that “Smaller companies can be more flexible. They can change the business model more easily”

https://sifted.eu/articles/openai-competitor-aleph-alpha/

#ai #openai

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