Proceedings

Michael Carone, MathWorks

Insight. Implementation. Integration. AI, or artificial intelligence, is transforming the products we build and the way we do business. It also presents new challenges for those who need to build AI into their systems. Creating an “AI-driven” system requires more than developing intelligent algorithms. It also requires:

• Insights from domain experts to generate the tests, models, and scenarios required to build confidence in the overall system
  
• Implementation details including data preparation, compute-platform selection, modeling and simulation, and automatic code generation
  
• Integration into the final engineered system
  

Join us as Michael Carone demonstrates how engineers and scientists are using MATLAB^® and Simulink^® to successfully design and incorporate AI into the next generation of smart, connected systems.

Emmanuel Blanchard, MathWorks

Two new workflows in AI, deep learning and reinforcement learning, are transforming industries and improving applications such as diagnosing medical conditions, driving autonomous vehicles, and controlling robots. This session dives into how MATLAB^® supports these workflows including labelling, interoperability with open source, training deep neural networks, tuning and generating multi-target code for e.g. NVIDIA.