If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...

For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...

Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...

While AI models may exhibit addiction-like behaviors, the technology is also proving to be a powerful ally in combating real ...