Morning Overview on MSN
Physics-trained AI models speed engineering design and simulations
When engineers at Sumitomo Riko needed to speed up the design cycle for automotive rubber and polymer components, they turned ...
A new study reveals the pitfalls of deep generative models when they are tasked with solving engineering design problems. The researchers say if mechanical engineers want help from AI for novel ideas ...
Dr. Elisabeth Kames (left), assistant professor of mechanical engineering at Florida Polytechnic University, received a $200,000 grant from the National Science Foundation to study how students engage ...
The goal of engineering design is to address physical needs using practical, analytical, and technical skills to develop robust, efficient, and appropriate solutions. Unlike many of the calculations ...
The Engineering Design program is intended for students whose academic/scientific interests aren’t aligned with an existing engineering discipline or limited to one engineering discipline. The ideal ...
Morning Overview on MSN
Physics-trained AI models speed up engineering simulations and design work
Running a single physics simulation can take hours or days, depending on the complexity of the geometry and the equations ...
MIT engineers trained several AI models on thousands of bicycle frames, sourced from a dataset of full bicycle designs, shown here color-coded by bike style. ChatGPT and other deep generative models ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results