Read more about AI-driven air quality system promises faster, more reliable urban health warnings on Devdiscourse ...

If your AI treats these identifiers as isolated columns in a table, the machine is essentially just memorizing a list. This ...

Methanol-to-olefins (MTO) is a crucial non-petroleum route to produce light olefins like ethene and propene, which are essential for manufacturing ...

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

Patient digital twins aim to create computational replicas of an individual’s physiology that can predict disease trajectories and treatment response.

Artificial intelligence systems are only as powerful as the data they are trained on. High-quality labeled datasets determine whether a model performs with precision or fails in production.

This important study describes long-range serial dependence of performance on a visual texture discrimination training task that manipulated conditions to induce differing degrees of location transfer ...

Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average diagnosis time?

Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more ...

People interact with artificial intelligence (AI)-powered chatbots, which can be trained to take on certain demographic attributes like age and race, for information, entertainment, technical help, ...

Instead of using GenAI to fix photos after you shoot them, researchers have trained a system that tells you how to move, pose and frame the shot beforehand, using studied knowledge of what makes ...

Cisco tested eight major open-weight artificial intelligence models and found multi-turn jailbreak attacks succeeded nearly ...