Model-Based Design for AI in IoT Enabled Intelligent Systems

In the current technology landscape, data serves as a convergence point of concurrent trends: ubiquitous sensors are generating ever larger amounts of data; pervasively connected 5G networks are making this data available at rapidly increasing speeds and size; proliferation of…

Model-Based Design for AI in IoT Enabled Intelligent Systems

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In the current technology landscape, data serves as a convergence point of concurrent trends: ubiquitous sensors are generating ever larger amounts of data; pervasively connected 5G networks are making this data available at rapidly increasing speeds and size; proliferation of compute platforms enables computational applications beyond control flow–oriented Harvard architectures; and sophisticated artificial intelligence and other algorithms are uniquely creating value from these reams of data and data intensive compute resources. These trends challenge the status quo in systems development and applications and create opportunity to predict, control, and optimize processes in new ways. How can Model-Based Design tools and workflows enable engineers to conceive, optimize, and implement these complex systems?

Watch a recording of the keynote at MWSCAS 2020: 63rd IEEE International Midwest Symposium on Circuits and Systems (http://mwscas2020.org/).
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