Imagine a world where your car not only diagnoses its own issues but also automatically schedules maintenance, optimising performance and saving you time and money. Picture train tracks monitored with millimetre precision, preventing accidents and ensuring safe, efficient journeys. Well, this is not science fiction; it is the evolving reality of the Internet of Things (IoT), fuelled by specialised silicon.
Advancements in 5G, Artificial Intelligence (AI), and automation are converging, creating unprecedented opportunities and driving the loT market, which, according to Gartner, is projected to touch USD 991 billion by 2028.
However, developing specialised silicon can truly unlocks the transformative power of this interconnected world.
RISE OF THE AIOT: INTELLIGENCE AT THE EDGE
The sheer volume of data generated by loT devices, estimated to reach 79.4 zettabytes by 2025 from 41.6 billion devices according to IDC forecast, demands more than just connectivity; it requires intelligence. This is where Artificial Intelligence of Things (AloT) takes loT further by shifting data processing from the cloud to the edge directly on devices such as video cameras.
This means chipsets must support not only the communication aspects of loT but also the AI capabilities required on edge for on-device processing.
Today, AloT is transforming industries by embedding intelligence into loT systems. For example, it ensures highspeed connectivity through dynamic load balancing and predictive network optimisation, minimising downtime in the telecommunications sector. In the automotive sector, AloT empowers vehicles with autonomous decision-making, enhancing safety, energy efficiency, and fleet management.
Bu hikaye Voice and Data dergisinin December 2024 sayısından alınmıştır.
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Bu hikaye Voice and Data dergisinin December 2024 sayısından alınmıştır.
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