How xMemory cuts token costs and context bloat in AI agents

When standard RAG pipelines retrieve redundant conversational data, long-term AI agents lose coherence and burn tokens.
Scientific Research Publishing

Beliakov, G., Pradera, A. and Calvo, T. (2007) Aggregation Functions: A Guide for Practitioners. Studies in Fuzziness and Soft Computing, Springer.

ABSTRACT: In the current era of big data and artificial intelligence, multi-criteria decision-making is facing numerous uncertain issues such as incomplete information and ambiguous evaluation.
News Medical

The impact of advanced detectors on biopharma quality assurance

These MoAs encompass protein degradation, hormone replacement, immunological cell signaling, and cytokine neutralization, among others. As a result of their versatility, there are currently over 890 ...
Medical Xpress

Modified tau thwarts aggregation in neurodegenerative disease—while retaining its biological function

A designer version of the tau protein, developed by a team led by UT Southwestern Medical Center researchers, maintains its biological function while resisting aggregation, a pathological trait linked ...
AOL

The 3 Income ETFs I’d Use to Offset Social Security

Thu, December 18, 2025 at 6:47 PM UTC If you are depending on Social Security for your retirement income, you might want to add reinforcements. While Social Security is tweaked annually in an attempt ...
IEEE

Optimal Placement of the Virtualized Federated Learning Aggregation Function at the Edge

Abstract: Federated Learning (FL) enables multiple devices (clients) training a shared machine learning (ML) model on local datasets and then sending the updated models to a central server, whose task ...