Abstract: Recent studies have been conducted actively on scheduling in a parcel delivery system using a truck and drones to deliver parcels more effectively. In logistics, it is necessary to provide ...

The technology uses predictive algorithms to identify frequently accessed data and move it between flash storage and high-speed memory in real time, reducing the amount of expensive DRAM a data center ...

Spiking neural networks excel at event-driven sensing. Yet, maintaining task-relevant context over long timescales both algorithmically and in hardware, while respecting both tight energy and memory ...

Sorting is a crucial algorithm widely applied to solve problems in various fields such as biology, big data, engineering, and computer science. Several conventional sorting algorithms, such as ...

Abstract: The decision tree, as an efficient data structure, is commonly used to perform packet classification due to its faster classification speed. During packet classification, all packets need to ...

For new discoveries, everyday mysteries, and the science behind the headlines, follow NPR's ShortWave podcast . Over a century ago, the German psychologist Wolfgang Köhler conducted what became a ...

This project implements a Memory-as-a-Service with Privacy-Preserving Access Control (MaaS-PPAC) framework that enables multi-agent systems to securely share memory ...

Long-running coding agents all hit the same problem: memory fades over time. A chat session is not one clean prompt. It can stretch across hours, days, files, decisions, preferences, and half-finished ...

Stanley Druckenmiller's Duquesne Family Office sold its entire 385,000-share position in Alphabet (NASDAQ:GOOGL) during the first quarter of 2026, redeploying capital into three memory and storage ...

Here's a situation I encounter regularly. A client has serious injuries, probably a head injury too. They know something has changed. They feel it every day. They lose the thread of conversations.