AI is transforming industries like manufacturing, retail, smart cities, transportation, healthcare and more. Applications are moving towards edge computing to enable real-time decision making without the limitations of latency, cost, bandwidth, and power consumption. This trend has led to a rapid increase in demand for high-performance and power-efficient inference solutions.
As the COVID-19 pandemic has changed the way we work, shop and communicate, we witness growing AI analytics and facial recognition demands for health compliance and contactless self-services to reduce the risk of spreading or contacting the virus, while creating new and positive user experiences.
What will you learn?
Why do we see an IoT paradigm shift? What dictates it?
How is Edge AI accelerating deep-learning inference on edge devices?
Why vision-based AI?
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