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.
GitHub

A Langchain implementation for Memvid, enabling efficient video-based document storage and retrieval using vector embeddings.

Memvid revolutionizes AI memory management by encoding text data into videos, enabling lightning-fast semantic search across millions of text chunks with sub-second retrieval times. Unlike traditional ...
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 ...