Watching hours of “sheepdog YouTube”—competitions where trained dogs shepherd a small number of unpredictable sheep—gave ...

Abstract: Learning from categorical data plays a fundamental role in such areas as pattern recognition, machine learning, data mining, and knowledge discovery. To effectively discover the group ...

Cook County's machine-learning tax model made assessments fairer, yet homeowner bills soared. The appeals system, not the ...

A new initiative called BEACON aims to advance scientific reproducibility by uniting siloed benchmarking efforts across ...

With $500 million in funding and a reported $2.5 billion valuation, Flourish wants to reinvent AI by putting real neurons ...

Abstract: Dimensionality reduction (DR) targets to learn low-dimensional representations for improving discriminability of data, which is essential for many downstream machine learning tasks, such as ...

Welcome to Data Structures and Algorithms in Go! 🎉 This project is designed as a dynamic, hands-on resource for learning and practicing data structures and algorithms in the Go programming language.

A new deep learning algorithm can predict the structure of proteins bound to a variety of other molecules such as drugs, fluorophores and metals. The work, which allowed researchers to design proteins ...

After evidence surfaced in 2018 that leading face-analysis algorithms were less accurate for people with darker skin, companies including Google and Meta adopted measures of skin tone to test the ...

CEBRA is a machine-learning method that can be used to compress time series in a way that reveals otherwise hidden structures in the variability of the data. It excels at processing behavioural and ...