Computer vision to track inventory and expiration of food in a refrigerator could be useful for busy households. A dishwasher could cut its cycle short if it sees that dishes are clean, saving water and energy.
In addition, robots are home appliances that require AI. Robotic vacuum cleaners learn their surroundings and navigate using machine learning, so much so that ML textbooks commonly use them as teaching tools.
We’re also likely to see humanoid robots(or similarly flexible platforms) becoming household appliances in the near future.
It’s not unreasonable for countries to be investing in new technologies and AI is one of the more promising.
AI and machine learning are often used interchangeably.
Neural networks, like the Transformer, are one of the techniques of machine learning.
Though some people only mean ChatGPT and DALL-E when they say AI, even though those are only one application of neural networks.
I usually just use AI and Machine Learning interchangeably. Unless you’re in a group of experts nobody really understands the distinction.