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

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

Abstract: Query-by-Example Spoken Term Detection (QbE-STD) retrieves relevant audio files corresponding to a spoken query, without relying on explicit word-level textual transcriptions. In ...

By Pietro Antonio Ciclese, Senior Technical Marketing Engineer, Ambarella The workloads that generate the most commercial ...

Abstract: The motivation of this paper is to be able to generate high-quality (Structured Query Language) SQL language sentences in terms of syntax and semantics so that they are intended to achieve a ...

A patent recently filed by Google outlines how an AI assistant may use at least five real-world contextual signals, including identifying related intents, to influence answers and generate natural ...

At its Cloud Next conference, Google is showing off a new AI engine for AlloyDB that enables developers to embed natural language questions in SQL queries. Google is enhancing AlloyDB, its fully ...

The automation of repetitive tasks has become part of today’s workplace, whether CPAs are engaged in industry, governmental, not-forprofit, or public accounting. This automation can consist of ...