Eva combines multi-agent systems with neuro-symbolic verification: deep learning for perception, symbolic reasoning for trust. Specialized agents auto-learn from structured, semi- structured, and ...

Ask an AI model to analyse a photograph and it might tell you it contains a person standing under a tree near the ocean on a ...

The AI race isn’t about models anymore — it’s about who controls the data context. To avoid massive vendor lock-in, you need to own your system's ontology.

AI adoption is accelerating inside enterprises, but many organizations are still struggling to define what a mature AI ...

With artificial intelligence (AI) moving rapidly from experimentation to strategic priority, today’s businesses are ...

The discussion dives deep into the three "hockey sticks" of AI growth, focusing on the massive infrastructure buildout required for data centers, advanced chips, and AI agents. Lee explains why he ...

Abstract: In recent years, huge amounts of structured, unstructured, and semi-structured data have been generated by various institutions around the world and, collectively, this heterogeneous data is ...

ScienceLogic, delivering intelligence that accelerates outcomes through service-centric observability, is introducing the latest updates to Skylar AI—enhancing Skylar Analytics and Skylar Advisor with ...

Kusto Query Language is a simple yet powerful language to query structured, semi-structured, and unstructured data. It assumes a relational data model of tables and columns with a minimal set of data ...