Microsoft Corp. aims to develop large, cutting-edge artificial intelligence models by next year, part of a push to build in-house alternatives to the most powerful AI tools from OpenAI and Anthropic. ...
Generative AI’s current trajectory relies heavily on Latent Diffusion Models (LDMs) to manage the computational cost of high-resolution synthesis. By compressing data into a lower-dimensional latent ...
Google is expanding the multimodal capabilities of Gemini, once again. Following the success of the viral Nano Banana image generator, the company is releasing Lyria 3, an AI model that can generate ...
We train latent diffusion models, replacing the commonly-used U-Net backbone with a transformer that operates on latent patches. We analyze the scalability of our Diffusion Transformers (DiTs) through ...
Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...
Abstract: Diffusion Models are popular generative modeling methods in various vision tasks, attracting significant attention. They can be considered a unique instance of self-supervised learning ...
Background: Preeclampsia is a severe hypertensive disorder with rising global prevalence. While machine learning (ML) models for predicting preeclampsia are increasingly published, existing evidence ...
Connecting the dots: By applying machine learning techniques to satellite imagery, researchers have built an unprecedented database of man-made structures across the globe. The data could reshape ...
Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...
DiT-Mem is a plug-and-play memory module for DiT-based video diffusion models designed to inject rich world knowledge during generation. Instead of scaling model size or data, DiT-Mem retrieves a few ...
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