Nathan Eddy works as an independent filmmaker and journalist based in Berlin, specializing in architecture, business technology and healthcare IT. He is a graduate of Northwestern University’s Medill ...

Data clustering remains an essential component of unsupervised learning, enabling the exploration and interpretation of complex datasets. The field has witnessed considerable advancements that address ...

This paper employs clustering and machine learning techniques to analyze validation reports. It provides insights into issues related to credit risk model development, implementation and maintenance.

Researchers have developed a new AI algorithm, called Torque Clustering, that significantly improves how AI systems independently learn and uncover patterns in data, without human guidance.

Conventional clustering techniques often focus on basic features like crystal structure and elemental composition, neglecting target properties such as band gaps and dielectric constants. A new study ...

The Department of Supply Chain and Business Technology Management is proud to host Dr. Warut Khern-am-nuai, an associate professor in Information Systems at Desautels Faculty of Management, McGill ...

LONDON, Feb. 22, 2024 /CNW/ -- XTX Markets, a leading algorithmic trading company, is excited to announce the launch of XTY Labs, a new machine learning division to be headed by newly appointed ...