According to a number of research initiatives (e.g., Hidden Debt in Machine Learning Systems) technical debt resides in areas common to many machine learning projects: Data Quality, Model Quality ...

Half (48%) of developers believe machine learning projects are too time-consuming, according to new research from Civo. The study of more than 500 developers revealed that one-quarter (24%) spend ...

Research Areas: Marine Mammal Acoustics, Advanced Acoustic Signal Processing. Applying machine learning techniques to identify bowhead whale and gray whale calls in underwater recordings. Students ...

This article looks at 13 open source projects that are remaking the world of AI and machine learning. Some are elaborate software packages that support new algorithms. Others are more subtly ...

This project aimed to critically assess the use of machine learning algorithms for policing, and provide practical recommendations to contribute to the fast-moving debate on policy and governance in ...

Like other deep learning projects, Microsoft’s used a convolutional neural network to outperform humans, mimicking the brain’s structure with massive network of neurons that respond to visual ...

Machine learning might be the world’s most important general-purpose technology, but it’s notoriously difficult to launch. Outside of Big Tech and a handful of other leading companies, machine ...