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 ...
InfoWorld

MariaDB taps GridGain to keep pace with AI-driven data demands

The company plans to integrate GridGain’s in-memory computing tech to deliver sub-millisecond performance for operational, ...
IEEE

SpikeNAS: A Fast Memory-Aware Neural Architecture Search Framework for Spiking Neural Network-based Embedded AI Systems

Abstract: Embedded AI systems are expected to incur low power/energy consumption for solving machine learning tasks, as these systems are usually power constrained (e.g., object recognition task in ...
GitHub

VittoriaDB - Local Vector Database for AI Development

VittoriaDB is a high-performance, embedded vector database designed for local AI development and production deployments. Built with simplicity and performance in mind, it provides a zero-configuration ...
Journal & Courier

congatec Computer-on-Modules fast-track Intel Core Ultra Series 3 processors for embedded AI

Wide range of congatec modules support for computationally powerful, energy-efficient embedded AI applications SAN DIEGO, CA, UNITED STATES, January 9, 2026 ...