The machine-learning programs that underpin their ability to “see” still have blind spots—but not for much longer ...

Data scientists are in high demand—and for good reason. Companies rely on them to turn large, messy datasets into insights ...

Learn how to build a digit recognition model from scratch using PyTorch! This beginner-friendly deep learning project walks you through loading the MNIST dataset, creating a neural network, training ...

The Image-Based Auto Clicker is a powerful tool that automates clicking based on image recognition. Developed with Python, it provides a user-friendly graphical interface built using CustomTkinter, ...

This predictive model built on readily acquired clinical data provides encouraging results for the detection of residual disease. External validation and prospective studies implementing the model in ...

"This is a major step toward understanding how galaxies like our Milky Way came to be." Astronomers have turned the Atacama Large Millimeter/submillimeter Array (ALMA) into a time machine to peer back ...

A digital innovation initiative about fault anomalies has been selected as one of the first projects for the new Microsoft AI Co-Innovation Lab. GREEN BAY, Wis. - June 27, 2025 - BW Converting is ...

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...

Antoni Shtipliyski offers advice on how early-career researchers can transition into machine-learning roles in industry. Flying high Antoni Shtipliyski is an engineering manager at Skyscanner, where ...