ABSTRACT: The objective of this work is to determine the true owner of a land- public or private- in the region of Kumasi (Ghana). For this purpose, we applied different machine learning methods to ...

New SIFT algorithm, developed by ETH computer scientists, continuously reduces uncertainty of AI responses using selected enrichment data tailored to the specific question. Algorithm recognises ...

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...

The goal of a machine learning regression problem is to predict a single numeric value. For example, you might want to predict the price of a particular make and model of a used car based on its ...

We trained models using logistic regression (LR) and four commonly used ML algorithms to predict NCGC from age-/sex-matched controls in two EHR systems: Stanford University and the University of ...

The nearest neighbor problem asks where a new point fits into an existing data set. A few researchers set out to prove that there was no universal way to solve it. Instead, they found such a way. If ...

Watching a flock of thousands of starlings take to the sky is a spectacular sight. As the flock changes direction, it looks like a formation of suspended iron filings guided by an invisible magnet in ...