I get where you’re coming from, but it’s not so black and white. Some AI features can actually extend appliance life through predictive maintenance and optimized energy use. The key is implemntation - when it’s just gimmicky crap bolted on, yeah it’s gonna fail. But when it’s thoughtfully integrated? Different story.
As a software engineer, hard disagree. There is no need for any AI in any of that. The device will have gone through various testing. If they wanted to implement this, they could use what they learnt in all the testing to set threshold values and run occasional diagnostics, all on-board with no internet, to know about such things. The only internet even required might be updates to those tables of values (or if a user wanted to opt in to sharing their data for whatever reason).
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.
Is that really AI (in the colloquial sense of the word like it is used in the article? From memory such features were marketed in an industrial context around ~10 years ago.
AI technology for home appliances?
The best home appliances have no smart functionality in them; it’s merely another avenue for something to break.
I get where you’re coming from, but it’s not so black and white. Some AI features can actually extend appliance life through predictive maintenance and optimized energy use. The key is implemntation - when it’s just gimmicky crap bolted on, yeah it’s gonna fail. But when it’s thoughtfully integrated? Different story.
As a software engineer, hard disagree. There is no need for any AI in any of that. The device will have gone through various testing. If they wanted to implement this, they could use what they learnt in all the testing to set threshold values and run occasional diagnostics, all on-board with no internet, to know about such things. The only internet even required might be updates to those tables of values (or if a user wanted to opt in to sharing their data for whatever reason).
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.
Is that really AI (in the colloquial sense of the word like it is used in the article? From memory such features were marketed in an industrial context around ~10 years ago.
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.