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.
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Alibaba's Metis agent cuts redundant AI tool calls from 98% to 2% — and gets more accurate doing it
Alibaba's HDPO framework trains AI agents to skip unnecessary tool calls, cutting redundant invocations from 98% to 2% while ...
Palantir is targeting AEC, positioning itself to integrate project, financial, and operational data into a single enterprise ...
The company’s QaECTER model can retrieve patent data when users use patent-specific language in their search queries.
Implementing Quantum-Resistant Cryptography for MCP appeared first on Read the Gopher Security's Quantum Safety Blog. Right now, your AI infrastructure is built on a foundation of sand. As enterprises ...
Predetermined Change Control Plans, Lifecycle Expectations, and New Transparency Obligations - The FDA has been steadily laying ...
Bigeye joins Snowflake-led Open Semantic Interchange to advance open, vendor-neutral semantic standards for consistent, ...
Elastic (NYSE: ESTC), the Search AI Company, announced that Jina Embeddings v3 is now available as a self-deployable partner ...
The offline pipeline's primary objective is regression testing — identifying failures, drift, and latency before production.
Semantic hubs provide a backbone for consistent AI deployments within an enterprise, but they fall short for a networked world of AI agents. So what’s expected of CIOs to avoid existing in isolation?
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