IEEE

Facial Expression Recognition: A Review of Trends and Techniques

Abstract: Facial Expression Recognition (FER) is presently the aspect of cognitive and affective computing with the most attention and popularity, aided by its vast application areas. Several studies ...
InfoQ

Gemma 4 12B Enables On-Device, Multimodal Agentic Workflows with an Encoder-free Architecture

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
IEEE

Boosting Micro-Expression Recognition via Self-Expression Reconstruction and Memory Contrastive Learning

Abstract: Micro-expression (ME) is an instinctive reaction that is not controlled by thoughts. It reveals one's inner feelings, which is significant in sentiment analysis and lie detection. Since ...
GIGAZINE

A Visual Guide to Gemma 4 12B - by Maarten Grootendorst

Gemma 4 12B is a 120-parameter multimodal model that runs on 16GB of memory, offering performance close to the Gemma 4 26B A4B, which has a larger total number of parameters. Details about Gemma 4 12B ...
note

Multimodal LLMs That Ditched the Encoder — Reading the "Direct Projection" Architecture of Gemma 4 12B

On June 3, 2026, Google DeepMind released Gemma 4 12B (where 12B = 12G = 12 billion parameters). It is a model capable of handling images, audio, and video, making it an AI that can process multiple ...