In the field of experimental solid mechanics – a discipline that focuses on understanding and measuring the physical properties of different materials – researchers have traditionally relied on ...

Feature engineering involves systematically transforming raw data into meaningful and informative features (predictors). It is an indispensable process in machine learning and data science. This ...

An age-old engineering problem: how do you precisely measure the forces that act between two components inside a machine or, for example, on the sail of a boat without drilling holes or sticking on a ...

You can hear the whizzing, banging, clanking, and zooming of the Whiting School of Engineering Machine Shop from hundreds of feet away. It is here in the Wyman Park Building, in five separate ...

Factors influencing the proportioning of machine elements: stresses, deformations, and failure criteria as applied to shafts, springs, belts, bearings, gears. Design of Elements is a required course ...

Danny Lange, Uber’s head of machine learning. (Uber photo.) Under the simple skin of Uber lies complexity you may not have considered: the logistics of predicting how long it will take rides (or meals ...

Rube Goldberg machines are always a fan favorite around here. They truly embody the concept of over-engineering, and are an entertaining departure from what we normally cover on Hackaday. Back in ...