For robots to be predictable and adaptive, they need a priority-based architecture and a new legal model, argues a researcher ...

This study published in Robot Learning has been focused on water analysis using the combination of decision making and machine learning for a recently developed robotic system. The unique procedure ...

Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in ...

Learn how to organize and structure your machine learning projects for real-world deployment. From directory layout to model ...

In recent years, scientists have found that machine learning–based weather models can make weather predictions more quickly ...

A key objective of behavioral science research is to better understand how people make decisions in situations where outcomes are unknown or uncertain, which entail a certain degree of risk.

AI/ML systems intersect with machine learning theory and software engineering. The system should scale to large data sets, train models reliably and cost-effectively, and serve the model ...

A machine-learning model developed in this study was able to predict 24-hour peaks for intraocular pressure (IOP).

After training a machine learning model on the patients’ functional brain images and clinical assessments, the researchers found that the model was able to predict an individual’s PTSD symptom ...

The machine learning model the team implemented overcame the challenge of limited data to incorporate the alpha conotoxins' amino acid sequences, secondary structure propensities and electrostatic ...