Professor Yeonhee Park of the Department of Statistics at Sungkyunkwan University has developed a novel statistical framework — MARGO (Machine Learning-Assisted Adaptive Randomization for Group ...

Vegetation fires are most common in Southeast Asian (SEA) countries, causing biodiversity loss, habitat destruction, and air pollution. Accurately predicting fire occurrences in SEA remains ...

The rising popularity of electric vehicles (EVs) is driving a transition in transportation toward electric vehicles (EVs), which presents both opportunities and problems for energy management systems.

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 ...

Today’s poem-writing AI has ancestry in punch-card machines, trundling robots and godlike gaming engines The Guardian’s journalism is independent. We will earn a commission if you buy something ...

Abstract: Extreme learning machine (ELM) is an emerging learning algorithm for the generalized single hidden layer feedforward neural networks, of which the hidden node parameters are randomly ...

Research in the field of machine learning and AI, now a key technology in practically every industry and company, is far too voluminous for anyone to read it all. This column, Perceptron, aims to ...

Machine learning (ML) has become a hot topic in the last few years, but what you may not realize is that the concept of machine learning has been around for decades. The design of machine-learning ...

Classification is one the most common problems in Machine Learning and Statistics , and the objective is to associate an observation to one or multiple classes (groups). The efficiency of these ...

Can a new technique known as deep learning revolutionize artificial intelligence, as yesterday’s front-page article at the New York Times suggests? There is good reason to be excited about deep ...