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Beyond the ‘I’ in AI
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.
Masterclass: Deep Learning and Reinforcement Learning Workflows in AI
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.
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