How AI deep learning is helping scientists protect California's coastal ecosystems

Researchers at UCLA's Institute of the Environment and Sustainability have developed the most high-resolution statewide maps ...
Open Access Government

Greening Europe’s chemical industry with electrified recycling and a digital decision-making tool

Savitha Thayumanasundaram guides us through greening Europe’s chemical industry with electrified recycling and a digital decision-making tool ...
marktechpost

Google DeepMind Introduces Unified Latents (UL): A Machine Learning Framework that Jointly Regularizes Latents Using a Diffusion Prior and Decoder

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 ...
Eos

Report: 13 Great Lakes’ Worth of Water Underlies the Contiguous United States

Combining direct measurements with artificial intelligence methods, a new map estimates groundwater depth across the contiguous United States at a resolution of ...
IEEE

Time-Filtering Graph Learning with Spatial-Temporal Diffusion for Robust Blade Icing Detection

Abstract: Accurate detection of wind turbine blade icing is essential for ensuring the safety and efficiency of wind farm operations. Although current machine learning and deep learning approaches are ...
News Medical

Global analysis uses machine learning to map drivers of cancer outcomes

For the first time, researchers have used machine learning – a type of artificial intelligence (AI) – to identify the most important drivers of cancer survival in nearly all the countries in the world ...
TechSpot

Machine learning just helped researchers create the biggest 3D map of buildings around the world

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 ...
Microsoft

Machine Intelligence

Diffusion Language Models (DLMs) explores the potential of diffusion-based models to exceed the generative quality of traditional autoregressive language models, while overcoming their current ...
GitHub

DSRL for π₀: Diffusion Steering via Reinforcement Learning

This repository provides the official implementation for our paper: Steering Your Diffusion Policy with Latent Space Reinforcement Learning (CoRL 2025). Specifically, it contains a JAX-based ...