User:Generalartificialintelligence/sandbox: Difference between revisions

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The vibrations generated by people's interactions on the surface are converted into an electric signal by a [[Piezoelectric_sensor|piezoelectric sensor]] and analysed in [[realtime]] by the AI algorithms that run on the chipset.
Anytime the AI recognises in the vibration signal one of the events that have been predefined by the user beforehand, a corresponding notification message is sentgenerated in realtime and sent to some application.
 
The technology can be applied to create products in multiple industry sectors, ranging from button-less [[Human–computer_interaction|human-computer interaction]] applications for automotive and [[Home_automation|smart home]] to the [[Internet_of_things|Internet of Things]]
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Because the AI algorithms employed by HyperSurfaces run locally on a chipset, without the need to access cloud-based services, they are considered to be part of the field of [[Edge_computing|edge AIcomputing]].
Also, because the AI can be trained beforehand to recognise the events its users are interested in, HyperSurfaces algorithms belong to the field of [[Supervised_learning|supervised machine learning]].