InfoQ

QCon London 2026: Reliable Retrieval for Production AI Systems

At QCon London 2026, Lan Chu, AI Tech Lead at Rabobank, shared lessons from deploying a production AI search system used internally by more than 300 users across 10,000 documents. Her experience shows ...

Google's Gemini Embedding 2 arrives with native multimodal support to cut costs and speed up your enterprise data stack

While previous embedding models were largely restricted to text, this new model natively integrates text, images, video, audio, and documents into a single numerical space — reducing latency by as muc ...
IEEE

Multi-Agent Deep Reinforcement Learning for Dynamic Routing in MANETs Using Graph Neural Networks

Abstract: Mobile Ad Hoc Networks (MANETs) consist of decentralized wireless networks with dynamic topologies and frequent link failures which make achieving efficient routing extremely difficult.
IEEE

HyperMD: A Multi-Modal Malware Detection Method Using Performance Counters and Process Memory on Xen Platform

Abstract: Traditional malware detection techniques often struggle against the sophisticated obfuscation methods employed by modern malware. To address this challenge, this paper proposes HyperMD, a ...
GitHub

DigitalOcean Gradient™ Agent Development Kit (ADK)

The DigitalOcean Gradient™ Agent Development Kit (ADK) is a Python toolkit designed to help you build, deploy, and operate production-grade AI agents with zero infrastructure overhead. Building AI ...