Neowin

LaBSE, a new language-agnostic embedding model, supports 109 languages with SOTA accuracy

Language-agnostic BERT Sentence Embedding (LaBSE), is a multilingual BERT embedding model that supports language-agnostic cross-lingual sentence embeddings for 109 languages by combining MLM and TLM.
SiliconANGLE

MongoDB combines database and embedding models for simplified AI development

MongoDB Inc. is making its play for the hearts and minds of artificial intelligence developers and entrepreneurs with today’s announcement of a series of new capabilities designed to help developers ...
VentureBeat

Google's mobile-ready EmbeddingGemma ranks highest in embedding leaderboard among small parameter models

Google’s open-source Gemma is already a small model designed to run on devices like smartphones. However, Google continues to expand the Gemma family of models and optimize these for local usage on ...
Semiconductor Engineering

Computer Architecture Extending The Von Neumann Model With A Dedicated Reasoning Unit For Native Artificial General Intelligence (TU Munich, Pace U.)

A new technical paper titled “Augmenting Von Neumann’s Architecture for an Intelligent Future” was published by researchers at TU Munich and Pace University. “This work presents a novel computer ...