Uploaded May 2024 | Updated September 2026, 2 weeks ago
🌍 Process Automation for Mechanical Engineering: synera.io
👉 Attend the LinkedIn event: linkedin.com/events/practicalmachinelearningforengi7193921477027549184/comments
A new deep dive series on "The Future of AI in Engineering: PINNs and More." In this session, we dive into the cutting-edge world of Machine Learning (ML) and its rapidly growing impact on mechanical and simulation engineering. Learn how solutions like Synera are changing the ML landscape through advanced algorithms and user-friendly pipelines, and discover when to leverage the power of AI in your projects.
Segments include:
👉 Practical ML Applications: When to use ML to enhance efficiency and when to pass due to complexity or cost.
👉 Breaking Down ML Barriers: Ways engineers can empower themselves with ML knowledge and resources.
👉 Future Tools: Copilots & ROMs: Understand how these innovations are setting new standards in engineering.
👉 Looking Ahead: Explore future trends, breakthroughs, and how Synera can shape the ML landscape.
Follow me here:
-------------------------
🌍LinkedIn - linkedin.com/in/jousefmurad
🎙️ Podcast (Audio only): https://anchor.fm/jousef-murad
📸Instagram: instagram.com/jousefmrd
Contact:
If you need help or have any questions, or want to collaborate, feel free to reach out to me via email: support@jousefmurad.com
#engineering
#machinelearning
#artificialintelligence
🌍 Process Automation for Mechanical Engineering: synera.io
👉 Attend the LinkedIn event: linkedin.com/events/practicalmachinelearningforengi7193921477027549184/comments
A new deep dive series on "The Future of AI in Engineering: PINNs and More." In this session, we dive into the cutting-edge world of Machine Learning (ML) and its rapidly growing impact on mechanical and simulation engineering. Learn how solutions like Synera are changing the ML landscape through advanced algorithms and user-friendly pipelines, and discover when to leverage the power of AI in your projects.
Segments include:
👉 Practical ML Applications: When to use ML to enhance efficiency and when to pass due to complexity or cost.
👉 Breaking Down ML Barriers: Ways engineers can empower themselves with ML knowledge and resources.
👉 Future Tools: Copilots & ROMs: Understand how these innovations are setting new standards in engineering.
👉 Looking Ahead: Explore future trends, breakthroughs, and how Synera can shape the ML landscape.
Follow me here:
-------------------------
🌍LinkedIn - linkedin.com/in/jousefmurad
🎙️ Podcast (Audio only): https://anchor.fm/jousef-murad
📸Instagram: instagram.com/jousefmrd
Contact:
If you need help or have any questions, or want to collaborate, feel free to reach out to me via email: support@jousefmurad.com
#engineering
#machinelearning
#artificialintelligence
