How Google Discover qualifies, ranks, and filters content: Research

New SDK findings reveal why some pages never reach ranking, how pCTR predicts clicks, and why images and recency drive Discover traffic.

Mercury 2 : World’s Fastest Reasoning AI Model Built for Production Applications

The new Mercury 2 AI model uses diffusion reasoning to generate 1,000 tokens per second; it runs about 5x faster than Haiku, speed limits are ...

These Tools Say They Can Spot A.I. Fakes. Do They Really Work?

Artificial intelligence detectors are increasingly used to check the veracity of content online. We ran more than 1,000 tests ...
IEEE

Learning Beyond Time: Transformation-Aware Diffusion for Data-Augmented Soft-Sensor Modeling

Abstract: In industrial soft-sensor modeling, the scarcity and imbalance of process data often lead to overfitting and poor generalization of predictive models. To address these challenges, this ...
IEEE

Task-Oriented Prototype Diffusion for Few-Shot Hyperspectral Image Classification

Abstract: Prototype-based meta-learning has emerged as an effective approach for few-shot hyperspectral image classification (HSIC), but estimating deterministic prototypes directly from a limited ...
GitHub

SVG-T2I: Scaling up Text-to-Image Latent Diffusion Model

Important Note: This repository implements SVG-T2I, a text-to-image diffusion framework that performs visual generation directly in Visual Foundation Model (VFM) representation space, rather than ...