Frontiers

Novel biomarkers and predictive models for type 1 diabetes risk and progression

The management of type 1 diabetes (T1D) has entered a new era of general population screening and preventive interventions. Although islet autoantibodies ...

AI has already run out of training data — but there's more waiting to be unlocked, Goldman's data chief says

Cheaper AI models may be trained on outputs of older systems instead of fresh human data.
Tech Xplore

AI model can manipulate time to make better predictions in a wide range of fields

In the world around us, many things exist in the context of time: a bird's path through the sky is understood as different ...

From guesswork to predictive control: Decoding metal-organic precursor chemistry

Metal-organic (MO) precursors are the chemical building blocks at the heart of atomically precise complex oxide materials.

AI-powered oil spill prediction system can improve emergency response accuracy by up to 25%

Oil spills can be among the most devastating environmental disasters, with the potential to severely damage marine ecosystems ...
C&EN

Machine learning helps density functional theory model molecules accurately

Trained on quantum data, a new model makes computations more accurate while keeping computer costs low ...

An AI tool is trying to predict your risk of getting many diseases years in advance – here’s how it works

Delphi-2M is the first open source, large-scale model for predicting a patient’s disease risk and when it may occur.
IEEE

Action-Inclusive Multi-future Prediction Using a Generative Model in Human-Related Scenes for Mobile Robots

Abstract: Mobility in daily unstructured environments, particularly in human-centered scenarios, remains a fundamental challenge for mobile robots. While traditional prediction-based approaches ...