Conventional robots, like those used in industry and hazardous environments, are easy to model and control, but are too rigid ...

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

In this paper, we examine the supervised and unsupervised machine learning approaches to the task of predicting the possible node that causes congestion in the 5G environment. Due to the huge variance ...

While machine learning and artificial intelligence have long been applied in networking research, the bulk of such works has focused on supervised learning. Recently, there has been a rising trend of ...

Additionally, low-dose statins were linked to better functional outcomes (OR=0.594, p<0.001) but showed no significant association with hematoma expansion (OR=1.056, p=0.735).Unsupervised machine ...

New research shows your brain may learn complex visual patterns without effort, reward, or feedback -- just by passively ...

The institution has announced that it is offering a Master of Engineering in Artificial Intelligence (MEng AI) program at the ...

Summary: New research reveals that the brain may be learning even during unstructured, aimless exploration. By recording activity in tens of thousands of neurons, scientists found that the visual ...

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...

Using supervised and unsupervised machine learning (ML) on features generated from nonadiabatic (NA) molecular dynamics (MD) trajectories under the classical path approximation, we demonstrate that ...