🧠 AI in Engineering, CFD NFTs & Work at

🌎 Simcenter Engineering: go.sw.siemens.com/QeBWrR7w
🎬 Simcenter RUclips: ruclips.net/user/SiemensSoft...
📈 APEX Consulting: theapexconsulting.com
🌎 Website: jousefmurad.com
Justin is a Senior AI/ML specialist and Product Manager at ‪@SiemensKnowledgeHub‬ DISW. He has a bachelor's, master's and Ph.D in Mechanical Engineering specializing in Thermofluids.
ONLINE PRESENCE
================
🌍 My website - jousefmurad.com/
💌 My weekly science newsletter - jousef.substack.com/
📸 Instagram - / jousefmrd
🐦 Twitter - / jousefm2
SUPPORT MY WORK
=================
👕 Science Merch: engineered-mind.creator-sprin...
👉 Subscribe to my Science Blog: www.jousefmurad.com/#/portal/...
👉 Become my Patreon: / theengiineer
🧠 Subscribe for more free videos: bit.ly/2RLmMxq
RECOMMENDATIONS
==================
🎥 1 Month Free of Skillshare Premium: bit.ly/3E3bXwC
📕 Books on AI, Data Science & Programming: bit.ly/2I1lUD1 - use "podengineered20" to get a 40% discount!
CONTACT:
-----------------
If you need help or have any questions or want to collaborate feel free to reach out to me via email: [e-mail]
#simulation
#engineering
#artificialintelligence
Disclaimer: Some of these links are affiliate links which make me earn a small commission when you make a purchase at no additional cost to you.
TIME STAMPS
-----------------------
0:00 : Intro
4:22 : Myths about AI for Engineering
6:41 : Augmenting Engineering Workflows
8:55 : Engineers are NOT Data Scientists
12:51 : Justin's AI Journey
15:07 : Physics-Based vs. Data-Driven Methods
16:56 : AI + Simulations
19:41 : Use Case
26:06 : Synthetic Data for Engineering Applications
30:44 : Verify and validate AI Algorithms
35:29 : Extracting Physics from Test Data
37:04 : Model Deployment - Accuracy Metrics
41:22 : First projects for Engineers to Delve into AI
45:52 : CFD NFTs
47:42 : DallE for Engineers
49:47 : How to pick an AI business case?
52:50 : Pain Points of Companies Using AI
57:25 : Closing remarks
1:00:15 : How to Stay Up-To-Date with Research
Podcast Recorded: September, 7th 2022 - Subscriber Release Count: 20,372.

[@prakharrathore6423]

a heavy podcast in terms of content but definitely a good starting point for CFD engineers beginning to explore ML for their workflows.

[@JousefM]

Thanks for your comment!

[@JousefM]

🌎 Simcenter Engineering: go.sw.siemens.com/QeBWrR7w
🎬 Siemens Software RUclips channel: ruclips.net/user/SiemensSoftwareplaylists?view=50&sort=dd&shelf_id=7
👉 Science Academy: courses.jousefmurad.com/
🤝 The Science Circle Community - Expert Talks & More: community.sci-circle.com/checkout/community-member

[@swadeshsuman]

It was a very interesting session. Got a lot of inputs regarding AI & ML in CFD. I myself have been trying to get into this but didn't know where to start. So, yeah the session gave me a lot of inputs. Great work !!!
I request you to share some books or websites or any other platform which can help in getting started in implementing AI & ML in traditional CFD.

[@JousefM]

Thanks!
Might write a blog on it soon. Stay tuned.

[@mostafanouri6377]

[@saurabhtalele1537]

cool

[@naveedurrahman7875]

Which field has more scope you would say CAE or CFD?

[@JousefM]

Depends on what you want to achieve. Both domains are narrow but there's definitely some request for both. Salary-wise you have to do some research but again, it depends on what you want to achieve. If you go for maximum salary, maybe a CFD engineer is the better choice? Only gut feeling here.