Key Takeaways LLM workflows are now essential for AI jobs in 2026, with employers expecting hands-on, practical skills.Rather ...

New Opentrons AI capability lets scientists simulate and visually inspect automated laboratory experiments before robots ...

Design intelligent AI agents with retrieval-augmented generation, memory components, and graph-based context integration.

Abstract: Understanding how the naming scheme applies in Information-Centric Networking (ICN) is critical for enhancing the user’s Quality of Service (QoS) during information retrieval. However, until ...

Self-regulated learning (SRL) is a crucial competency in today’s rapidly evolving digital society. Information and communication technologies (ICT) offer unprecedented opportunities to enhance SRL.

At the core of Retrieve Personal is direct integration with Health Information Exchanges (HIEs) and major health networks. By tapping into these networks, Retrieve is able to gather the most complete ...

Welcome to the official GitHub organization for the Artificial Intelligence and Information Retrieval Lab at the University of Southern Maine! We host our website's source code in the website ...

Abstract: Accurate interpretation of lab results is crucial in clinical medicine, yet most patient portals use universal normal ranges, ignoring conditional factors like age and gender. This study ...

Modern search systems are evolving rapidly as the demand for context-aware, adaptive information retrieval grows. With the increasing volume and complexity of user queries, particularly those ...

The applications of neural network models, shallow or deep, to information retrieval (IR) tasks falls under the purview of neural IR. Over the years, machine learning methods-including neural networks ...