IoT Write For Us
IoT refers to the device’s sensors, processing ability, software, and other technologies, data can be connected and exchanged with different devices and systems over the Internet or other communications networks. The Internet of Things includes communication, electronics, and the computer science engineering.
In the IoT, the integrator and decision maker are always human beings, so it is a personalized process tailored to the user. With AI, devices use data to learn and make decisions based on past user behavior. The more data there is, the better the AI decisions. For example, for the AI to identify the gender of people, you have to feed it photos of women and men. As it receives more photos, the AI can autonomously decide, with increasing precision, whether there is a woman or a man in each image.
With A IoT, the vast amount of data collected by sensors is combined with AI methods so that the system can learn from the behavior of users and the environment and thus offer better services. Most A IoT systems work in the cloud or around the gateway, but there is also a more innovative method where AI takes place on edge devices. This last method is called Tiny ML. With it, IoT devices can keep their data in their local environment; they don’t need internet connectivity, and the system can respond much faster. On the other hand, Tiny ML procedures face several limitations, such as low power consumption (a device can work for a whole year with only a tiny battery, type CR2032) and limited processing power.
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