If we want to avoid making AI agents a huge new attack surface, we’ve got to treat agent memory the way we treat databases: with firewalls, audits, and access privileges. The pace at which large ...

ABSTRACT: The golden age of digital chips seems to be coming to an end. For decades, we have relied on making transistors smaller and increasing clock speeds to improve performance. However, when chip ...

Abstract: Selecting a database implementation fit for specific data analytic purposes is often challenging due to manufacturers' bias in database performance reporting. This paper aims to compare disk ...

In this tutorial, we’ll build an end‑to‑end ticketing assistant powered by Agentic AI using the PydanticAI library. We’ll define our data rules with Pydantic v2 models, store tickets in an in‑memory ...

This tutorial will guide you through the process of using SQL databases with Python, focusing on MySQL as the database management system. You will learn how to set up your environment, connect to a ...

Distributed, in-memory key/value store and cache. It can be used as an embedded Go library and a language-independent service.

Danish pension fund says it's selling all its US Treasuries Judge and wife shot in broad daylight in Indiana, sparking massive multi-agency investigation With the penny going away, what should you do ...

The adoption of in-memory computing continues to accelerate. Mature solutions enable organizations to obtain the database processing speed and scale they require for their digital transformation and ...

Abstract: It is still not fully clear if the increased query execution speed offered by in-memory databases unfolds its potential benefits over traditional disk-based databases in an enterprise ...

Store managers can receive real-time information on sales and make immediate decisions regarding inventory, merchandising and promotions using SAP’s High-Performance Analytic Appliance (HANA) software ...