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

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

Over 70 million people in the U.S. are impacted by hearing loss, and age-related hearing loss is the second most common ...

The blockchain analysis company published a proposed ontology for how investigators can identify clusters of crypto addresses ...

The release includes an embedded MCP server that exposes Spring project analytics to AI coding assistants, along with first-class support for Spring AI and automated property refactoring.

Researchers have developed AdapGNN, a novel model-agnostic framework that addresses the oversmoothing problem in graph neural ...

NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — ...

The new G-LIDE GBXH5600 models shed nearly 30 percent of their weight while keeping tide tracking, surf forecasts, fitness ...

Abstract: Many graph-based algorithms in high performance computing (HPC) use approximate solutions due to having algorithms that are computationally expensive or serial in nature. Neural acceleration ...

👉 Learn how to graph piecewise functions. A piecewise function is a function which has more than one sub-function for different sub-intervals (sub-domains) of the function's domain. To graph a ...

Learn how to find the inverse of a linear function. A linear function is a function whose highest exponent in the variable(s) is 1. The inverse of a function is a function that reverses the "effect" ...