With hallucinations waning, AI is diving deeper into scientific research

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With hallucinations waning, AI is diving deeper into scientific research

The article discusses how AI is increasingly being utilized in scientific research, with a focus on addressing the issue of hallucinations in AI-generated content. Companies like Elicit and NobleAI have secured significant funding for their research workflow and material formulation platforms, respectively. European challenger Iris, based in Oslo, has raised a Series A funding round for its machine learning engine that analyzes academic research.

Iris' flagship product categorizes, summarizes, and systematizes millions of documents to provide actionable insights for users, including academic and corporate clients like R&D firm Materiom and the Finnish Food Authority. The article highlights the importance of accuracy in AI-generated content, especially in the wake of Meta's Galactica launch, which faced backlash for producing inaccurate information. Iris aims to combat these errors by implementing knowledge graphs and context similarity testing to ensure factual accuracy.

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