Artificial Intelligence of Things(AIoT) Explained!

This emerging combination of Artificial Intelligence and Internet of Things is showing tremendous promise.

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Image by mohamed Hassan from Pixabay

Rapid advancement in Artificial Intelligence is reforming almost every industry in the world. Internet of Things and Edge Computing became dominant in recent years. Lets explore how the combination of Artificial Intelligence and Internet of Things is making a new branch of emerging technology called Artificial Intelligence of Things(AIoT). The application can range from smart home speakers to self driving cars.

Both terms, Artificial Intelligence and Internet of Things, are buzzwords. This means we did already hear about them and have a notion of what each terms means independently, While Artificial Intelligence is the use of machine intelligence to infer things, Internet of Things, on the other hand, is the interconnected collection of sensor devices which collects useful data.

While each technologies are self sufficient in its own terms the combination of this two can provide lethal benefits.

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Image by jeferrb from Pixabay

Why AIoT is important?

Use of Artificial Intelligence can improve the overall outcome of most of the the tools or process out there, if not all, given than it is used in the correct context. Internet of things, being a relatively new technology can make rapid advancements by using the benefits of machine learning and AI. AIoT enabled devices will be able to be proactive rather than reactive using AI.

Normally IoT enabled devices will act as sensors which are connected to a cloud computing platform. The role of the device will be to capture all the available data as per the configuration and send it back to the cloud for processing. The task of processing the data and providing meaning full insight will be limited to cloud computing platform in this type of an environment. More or less, IoT devices will act as passive sensors which can be deployed in numbers so that we can get data, to do analysis or processing.

With the introduction of AI chips the IoT devices can be more active rather than passive. For example, an AI enabled smart speaker can process the trigger word using a Natural Language Processing (NLP) model locally rather than sending all the voice capture to the cloud for processing.

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Image by Markus Distelrath from Pixabay

This essentially means that an AI enabled IoT system will be more robust, more secure, and even more scalable.

On the other hand, most of the Machine Learning and AI models depends on data to perform inference. IoT enabled devices can provide AI algorithms with enough amount of data to do prediction, so that the algorithms can run effectively in a local environment. For instance, if we have a self driving car using an AI model, the model can use the input from the radar system of the car in case the camera input is obstructed for some reason.

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Image by Julien Tromeur from Pixabay

These systems, using the power of AI, can perform auto correction and be decisive in terms of deciding to shutdown a system in case of malfunctioning. Such as, it the model for a self driving car detects discrepancies in the the data from different sensors it can decide to disengage and force the human driver to take control.

Who is investing in AIoT?

Ranging from home automation to climate prediction, the use-cases for AIoT is wide and varied. This scope is ensuring that major players in the field like Amazon and Nvidia is investing heavily on AIoT.

AWS IoT integrates with AI services, so that we can make devices smarter, even without Internet connectivity. Amazon says that, AWS IoT provides broad and deep functionality, spanning the edge to the cloud, so that we can build IoT solutions for virtually any use case across a wide range of devices.

Nvidia, introduced a specialised branch called Autonomous Machines, which includes JETSON XAVIER NX, which the World’s Smallest AI Supercomputer for Embedded and Edge Systems, that focus directly on AIoT solutions. Nvidia says that

In addition to this, chip manufactures like Arm and XMoS is coming up with new and cheap AI enabled chips that can extensively improve the uses cases for AIoT by empowering engineers to come up with intelligent applications, which costs as low as a single dollar.

XCore.ai from XMOS and cortex-m55 from ARM are leading the way for this.

The Future!

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Image by Achim Waldow from Pixabay

The convergence of AI and IoT is inevitable at the point. AIoT as a platform is all set to improve several business use-cases out there. With billions of smart devices out there, the use of Artificial Intelligence to construct secure and robust solutions will be a necessity rather than a choice. It is more likely that we will see more advanced AI processors coming to edge computing which are economic enough for practical use, which will in turn ensure that AIoT will be leading the way in Smart homes, industrial automation, self driving and transportation, hospitality and almost any other field. AIoT will be inevitable.

Thanks for your time!

Written by

Writing to share knowledge. Obsessed with Technology and Engineering. https://www.linkedin.com/in/arun-thomas-214b1637/

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