Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?
Without a clear view of where sensitive data lives, who can access it and how it moves, blind spots can quickly turn into ...
The research project promises more efficient long-term recall by organizing knowledge around abstractions and cue-based ...
NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — ...
NATO has spent more than a decade building one of the world’s most sophisticated maritime uncrewed experimentation ecosystems, but still lacks a way to translate this testing into alliance-wide ...
Generative AI services and tools that use tokens to produce results can get expensive quickly. That’s spurring IT leaders to look for new ways to reduce token use — and save money.
Venue: This work has been accepted by the Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining. TL;DR: AGDN solves TSP by combining a MixScore transition matrix with ...
In this video, we provide essential "math help" by explaining "how to solve" "systems of equations" that include "algebraic expressions" like '2xy'. This "math tutorial" demonstrates the "substitution ...
đŸ‘‰Learn how to solve a system (of equations) by elimination. A system of equations is a set of equations which are collectively satisfied by one solution of the variables. The elimination method of ...
Graph-based conflict resolution methods employ mathematical graphs to represent the possible states of a conflict and the moves that decision-makers can enact to transition between these states.
Abstract: Problem solving is a composite cognitive process, invoking a number of cognitive mechanisms, such as perception and memory. Individuals may form collectives to solve a given problem together ...