Artificial intelligence (AI) is no longer the sole domain of sci-fi enthusiasts or computer scientists. It’s generally acknowledged as a force that will fundamentally change all aspects of our lives. We’re seeing an explosive growth in the adoption of AI to address a wide range of problems.
But the story has only just begun. So far, most AI implementations are examples of cloud AI. Here, extremely powerful computers crunch enormous quantities of data. In the future, however, the quest for intelligence will also be pursued at the edge.
At the edge, trillions of devices will work together to create inconceivable amounts of new data. Most of these ‘things’ will be extremely constrained when it comes to power budget, cost, robustness, ...
If we want these devices to achieve the performance demands of AI within these constraints, we will need innovation on all levels: from computational concepts down to the implementation technology.
This white paper sketches the roadmap for these edge AI innovations. Dive into it for a visionary view of the path towards next-generation AI applications.
Read this white paper to find out:
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