Question of the Month: How will AI be deployed in embedded applications in five years’ time?

Companies like Amazon, Google, and Apple will only support cloud-based AI integration. It is not in their advantage to provide local control over home automation. It's unclear what Microsoft will do since they have an OS (Windows) that could resurface as the home OS server with local control processing for AI services.

I would prefer that AI\ML for home automation ensure local control by reducing the MML size to something that can run on a single graphics processor or dedicated AI processor like the endpoint Tensor, but it will depend on if companies like Microsoft provide that option along with a secondary escalation of communication between the local controlled AI and the cloud-based AI (e.g., ChatGPT).

In this later case, a local control AI would handle any intelligence gathering and processing of movements, images\sound, and sensor data to tailor the AI integration with the home automation system. Home Assistant could champion this approach and there will be multiple smaller sample MML corpus of knowledge to run under local control. The home AI would need additional information regarding identifying of persons, their locations, and what they say or do. In 5 years, mm wavelength positioning could be available to provide at home GPS-like function down to the centimeter.

There still is a layer of preprocessing that needs to mature for home AI to really take off. Localized domain of knowledge which includes the home sensor data plus details in terms of preferences, likes and dislikes of each person. Also, the ability to identify non-person identities (animals) and determining when a person is an intruder. There is already much work towards local processing of images via security camaras that does not require Internet connections (except for remote viewing and alerting). Tailoring the input queries based on person identity would be very special knowledge that must not be exposed to companies like Amazon, Google, and Apple which will use it to pervasively track individuals and apply negative actions based on their social credit score. That is why I am strongly opposed to mega-corp access and control of personal information from a home automation AI.

Unforineitly, the younger generations don't care about privacy and haven't learned from history the lessons of tyranny that arise from knowledge control.

Companies like Amazon, Google, and Apple will only support cloud-based AI integration. It is not in their advantage to provide local control over home automation. It's unclear what Microsoft will do since they have an OS (Windows) that could resurface as the home OS server with local control processing for AI services.

I would prefer that AI\ML for home automation ensure local control by reducing the MML size to something that can run on a single graphics processor or dedicated AI processor like the endpoint Tensor, but it will depend on if companies like Microsoft provide that option along with a secondary escalation of communication between the local controlled AI and the cloud-based AI (e.g., ChatGPT).

In this later case, a local control AI would handle any intelligence gathering and processing of movements, images\sound, and sensor data to tailor the AI integration with the home automation system. Home Assistant could champion this approach and there will be multiple smaller sample MML corpus of knowledge to run under local control. The home AI would need additional information regarding identifying of persons, their locations, and what they say or do. In 5 years, mm wavelength positioning could be available to provide at home GPS-like function down to the centimeter.

There still is a layer of preprocessing that needs to mature for home AI to really take off. Localized domain of knowledge which includes the home sensor data plus details in terms of preferences, likes and dislikes of each person. Also, the ability to identify non-person identities (animals) and determining when a person is an intruder. There is already much work towards local processing of images via security camaras that does not require Internet connections (except for remote viewing and alerting). Tailoring the input queries based on person identity would be very special knowledge that must not be exposed to companies like Amazon, Google, and Apple which will use it to pervasively track individuals and apply negative actions based on their social credit score. That is why I am strongly opposed to mega-corp access and control of personal information from a home automation AI.

Unforineitly, the younger generations don't care about privacy and haven't learned from history the lessons of tyranny that arise from knowledge control.