MIT Short Course: Applied AI for Materials Discovery (July 27-30, 2026), LIVE ONLINE
Applied AI for Materials Discovery
July 27–30, 2026, Live Online
Instructor: Prof. M.J. Buehler (MIT)
artificial intelligence
Computational Mechanics Seminar on 03/26 by Prof. Wing Kam Liu
Mark your calendar
We would like to invite you to attend an upcoming presentation:
"AI-Empowered CAE: Real-Time Engineering Analysis for Rapid Prototyping and High-Fidelity Simulation"
The talk will be given by Prof. Wing Kam Liu from Northwestern University as part of the Oak Ridge National Laboratory (ORNL) Computational Mechanics Seminar series.
The seminar will be held March 26, 2026, 2-3PM EST.
MIT Generative Multiscale Materials Design: Physics, AI, Manufacturing Short Course
MIT Generative Multiscale Materials Design: Physics, AI, Manufacturing Short Course
June 1-4, 2026, MIT Campus OR Live Online, Cambridge, MA
Research Fellow (Postdoctoral) Positions - Ocular Biomechanics and AI - Singapore (SERI and Duke-NUS Medical School)
Research Fellow – Using Biomechanics and AI for Improved Glaucoma Diagnosis, Prognosis, and Management – Singapore Eye Research Institute (SERI) and Duke-NUS Medical School
Job description: We are looking for two bright, dynamic, and highly motivated individuals to perform research in translational biomechanics with applications to glaucoma and other ophthalmic disorders. For more information about our Laboratory, please visit: https://www.ophthalmic.engineering
Webinar: AI Medical Image Segmentation with Simpleware Software: A Solutions Overview
Synopsys are running a webinar this month on using AI medical image segmentation in Simpleware software to scale-up patient-specific workflows, save time, and free up staff resources. Highly recommended if you haven't yet had a chance to review the tools in Simpleware software.
Register here: https://register.gotowebinar.com/register/4951806069167092496?source=iM…
Journal Club for May 2022: Machine Learning in Mechanics: curating datasets and defining challenge problems
Over the past several years, machine learning (ML) applied to problems in mechanics has massively grown in popularity. Here is a figure from a slide that I made in early 2020 referencing a few examples from the literature — already this slide feels out of date! All of these authors (and many many others) have published new papers on this topic.
As more researchers apply ML methods to problems in mechanics, I believe two methodological questions have become increasingly important:
Webinar: Simpleware T-2022.03 Release: Highlights of New and Improved Features
Synopsys are running a webinar this month on highlights of the Simpleware T-2022.03 release, including new anatomies for its AI segmentation tools, 2D contour measurements, and improved 3D printing workflows. Learn more and register at:
https://attendee.gotowebinar.com/register/4418379100942143757?source=iM…
Webinar: Simpleware R-2021.03 Release: Highlights of New and Improved AI-Powered Tools
Check out this webinar on the AI-enabled segmentation and landmarking tools in the latest release of Simpleware software - ideal if working with orthopedic and cardiology medical image data and you want to speed up tedious segmentation.
Registration is here: https://register.gotowebinar.com/register/2163352213172894476?source=IM…