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 ...

Join us for a two-day workshop exploring the latest developments in scientific machine learning, where theory, algorithms, and real-world applications converge. This event brings together researchers ...

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

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 ...

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

AI-powered cloud services enable scalable model training and deployment. Setting Up a Machine Learning Environment on Linux To begin AI/ML development on Linux, follow these steps: Choose a Linux ...

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

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 ...

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 ...