Questel releases QaECTER, a new AI model for patent search developed and optimized by Questel’s AI Lab for state-of-the-art semantic patent retrieval.
The growing priority around enabling trusted AI is forcing companies to revisit this divide and to take a more holistic approach.
The company’s QaECTER model can retrieve patent data when users use patent-specific language in their search queries.
Researchers Dr. Noushin Mohammadian and Prof. Dr. Omid Fatahi Valilai of Constructor University in Bremen have presented a ...
Palantir is targeting AEC, positioning itself to integrate project, financial, and operational data into a single enterprise ...
Elastic (NYSE: ESTC), the Search AI Company, announced that Jina Embeddings v3 is now available as a self-deployable partner ...
Fine-tuning RAG embedding models for precision triggers a retrieval accuracy tradeoff that standard benchmarks won't catch ...
Is AI misrepresenting your brand? Fix how you’re encoded, cited, and surfaced across training, retrieval, and generation.
Sub-headline: BUPT researchers introduce SEA-SQL to tackle complex SQL generation via adaptive bias elimination and execution feedback.
A Stanford-led study finds 35% of new websites are AI-generated—reshaping online language and raising risks of model collapse ...
Against the backdrop of a constantly changing global trade environment and intensifying competition, foreign trade enterprises are facing multiple growth pressures: rising traffic costs, limited ...
Houston-based Microsoft Gold Partner and triple G2 Leader ties 2009 Gartner SharePoint governance methodology to 2026 ...
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