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 ...

New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...

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

Zak-OTFS Waveform Required to Address the Unique Challenges of Delay Spread and Doppler Impairments in Space to Make ...

Scientists report that they have developed a new machine-learning system designed to overcome challenges encountered in ...

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 ...

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