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How can AI benefit from the IoT dark compute
All the hype for the last year has been around AI, generative AI, large language models. What does it mean for IoT?
What does it mean for the world that we are working in?
Can you bring these large models to the edge, as close as possible to where the data is generated by sensors, in the environment the devices are evolving?
Can you run these kinds of models on microcontrollers, on microprocessors, on tiny machines and not rack of servers in a data center?
This is exactly what Mitko Vasilev and I discuss in this new episode of the IoT Show. Mitko has a vast expertise in the domain and lots to say about how AI will not replace humans but rather augment them.
Follow Mitko on LinkedIn: https://www.linkedin.com/in/mitkox/
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By Olivier BlochAll the hype for the last year has been around AI, generative AI, large language models. What does it mean for IoT?
What does it mean for the world that we are working in?
Can you bring these large models to the edge, as close as possible to where the data is generated by sensors, in the environment the devices are evolving?
Can you run these kinds of models on microcontrollers, on microprocessors, on tiny machines and not rack of servers in a data center?
This is exactly what Mitko Vasilev and I discuss in this new episode of the IoT Show. Mitko has a vast expertise in the domain and lots to say about how AI will not replace humans but rather augment them.
Follow Mitko on LinkedIn: https://www.linkedin.com/in/mitkox/