Annotation
This event offers a overview of how to construct robust and scalable industrial AI solutions, with a particular emphasis on addressing the complex, real-world challenges encountered in industrial environments. Participants will gain a nuanced understanding of best practices in deploying and maintaining AI systems that must perform reliably under demanding safety critical operational conditions.
Attendees will discover how to use MATLAB with high-performance computing (HPC) infrastructure. The sessions will cover strategies for optimising AI workflows, managing large scale data processing, and accelerating model training using both CPU and GPU resources. Real-world case studies will illustrate how to deliver tangible benefits in industrial applications.
Hands-on exercises will provide participants with the opportunity to work directly on MATLAB Online. The workshop will also highlight advanced HPC techniques, demonstrate how to access and utilise resources like the Karolina cluster, and address common pitfalls and troubleshooting methods in industrial AI system integration and deployment. Upon completion, attendees will have a complete understanding of techniques in MATLAB for developing, scaling, and deploying sophisticated AI solutions tailored to the specific requirements.
Benefits for the attendees, what will they learn
- Explore real-world case studies & learn how to build robust AI solutions using MATLAB and HPC clusters
- Accelerate model training with CPU and GPU resources, optimizing workflows for large scale data processing
- Learn model explainability and compression techniques for efficient deployment and verification
- Experience seamless transition from prototyping to deployment using MATLAB’s ecosystem
Level
Beginner
Language
English
Prerequisites
Must have experience working with HPC clusters & basic understanding of Machine Learning. Good to have prior experience with MATLAB.
Technical requirements:
MATLAB – Participants will be provided with MATLAB Online workshop licenses for the event so no other resources will be required
Recording
yes
HPC resources
CPU & GPU
Tutor
Akhil Gopinath is the Senior AI Academic Liaison at MathWorks, where his responsibilities include collaborating with leading AI professionals from both industry and academia worldwide to advance the development of innovative AI-based systems. His background features research in artificial intelligence for surrogate modeling. He has extensive experience building solutions for IT/OT automation, autonomous systems development, and advanced analytics in process and manufacturing environments. These initiatives have included partnerships with esteemed research institutions and recognized industry leaders. He is particularly focused on developing Agentic AI solutions for real-world systems and translating academic research into practical applications that address industry challenges and promote the adoption of AI in emerging technologies.
LUMI AI Factory is funded jointly by the EuroHPC Joint Undertaking, through the European Union's Connecting Europe Facility and the Horizon 2020 research and innovation programme, as well as Finland, the Czech Republic, Poland, Estonia, Norway, and Denmark.
This course was supported by the Ministry of Education, Youth and Sports of the Czech Republic through the e-INFRA CZ (ID:90254).
All presentations and educational materials of this course are provided under the Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) license.
