Morning Overview on MSN

UCLA uses deep learning to map kelp and protect California coasts

Researchers at UCLA’s Institute of the Environment and Sustainability have built a deep learning model that generates ...

Turning CO₂ into methanol: Multilayer machine learning speeds up search for better catalysts

Finding high-performing catalysts, which are used to accelerate processes from chemical manufacturing to energy production, ...

Single-cell imaging and machine learning reveal hidden coordination in algae's response to light stress

Researchers from several Parisian institutions have worked together to develop a non-destructive approach to study how ...
International Atomic Energy Agency

New IAEA Research Project Uses Machine Learning to Better Predict Polymer Changes under Radiation

The IAEA is inviting research organizations to join a new project that will use machine learning to better predict structural changes in polymers caused by ionizing radiation. Rad ...
Devdiscourse

Deep Learning Study Forecasts How Sackett Ruling Shrinks U.S. Wetland Protection

Researchers from UC Berkeley, Yale, Stanford’s Global Policy Laboratory, and NBER developed a deep learning method to predict ...
NBC Montana

UM researchers work to improve models predicting coastal threats

Two University of Montana researchers are using advanced neural networks along with other things to improve climate models to help predict threats to coastal ar ...

Nvidia's Nemotron-Cascade 2 wins math and coding gold medals with 3B active parameters — and its post-training recipe is now open-source

Nvidia's Nemotron-Cascade 2 is a 30B MoE model that activates only 3B parameters at inference time, yet achieved gold ...

Lamar University researcher awarded $833K TxDOT grant for AI-driven waterway monitoring project

A Lamar University researcher has received an $833,000 Texas Department of Transportation grant to enhance AI systems for ...
Frontiers

AI-Driven Spatiotemporal Data Mining: Novel Architectures for Imputation and Forecasting

Accurate spatiotemporal prediction is fundamentally essential for anticipating and managing the dynamic evolutions within global physical, environmental, ...