Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

After a cardiac arrest, families and doctors are often faced with agonizing uncertainty about a patient's chances of recovery ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

Topological defects govern how many advanced materials behave, but predicting them has traditionally required slow, ...

In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...

When Arinze Nkemdirim Okere, PharmD, MBA, worked as the pharmacist for a hospital in Tallahassee, Florida, he noticed that ...

AI may be able to predict a person’s risk of developing over a hundred serious medical conditions from data collected over ...

Praveen Shiveswara Sridharamurthy has spent more than two decades architecting cutting-edge solutions for oil and gas ...