The data layer underneath an agentic system must handle variable schemas, vector embeddings, real-time retrieval, and ...

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

Couchbase AI Data Plane combines persistent agent memory, vector search and an enterprise MCP server that runs on-device when ...

Part of the SD Times 100 2026 series. See the full SD Times 100 2026 list for every category and honoree. Every conversation ...

New Voyage AI capabilities and Search for on-premises and private cloud let enterprises build accurate, compliant AI applications to run anywhere without rewriting their applications and relying on ...

The company is combining human-reviewed AI tools with interactive, gamified learning to improve safety training, incident ...

The 10 coolest big data tools of 2026 so far include products from Databricks, Google Cloud, Starburst, Teradata and ...

Nvidia and AWS have expanded their partnership to make AI cheaper to run at production scale, detailed by Nvidia on June 24.

A major overhaul of the Model Context Protocol due next month removes several longstanding protocol-level security risks but ...

Abstract: Biofuels derived from feedstock offer a sustainable source for meeting energy needs. The design of supply chains that deliver these fuels needs to consider quality variability with special ...