Design intelligent AI agents with retrieval-augmented generation, memory components, and graph-based context integration.

An innovative open-source AI engine uses swarm intelligence and thousands of digital agents to accurately predict market ...

The project is described by its creators as a universal swarm-intelligence engine designed to run large-scale simulations in order to explore possible future scenarios. Instead of relying on a single ...

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In today’s world, data is not just numbers on a spreadsheet. It’s the fuel driving smarter decisions, stronger businesses, and even personal growth. Data analytics has become one of the hot deals ...

Hillman highlights Teradata’s interoperability with AWS, Python-in-SQL, minimal data movement, open table formats, feature ...

Google rolls out Canvas in AI Mode across the US, adding a side panel workspace in Search for building plans, dashboards, and interactive tools.

The NGI Zero Commons Fund provides grants to people who help build the digital commons. Because all projects are free and ...

AT&T's chief data officer shares how rearchitecting around small language models and multi-agent stacks cut AI costs by 90% at 8 billion tokens a day.

Abstract: Knowledge graph embeddings (KGE) are effective for representing factual data for numerous applications. However, real-world facts continually evolve, necessitating ongoing updates to ...

Abstract: This paper proposes a spatio-temporal graph convolutional network incorporating knowledge graph embeddings for hydrological time series prediction. A knowledge graph is constructed to ...