Comment on South Korea makes AI investment a top policy priority to support flagging growth
Alphane_Moon@lemmy.world 3 weeks 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.
MysteriousSophon21@lemmy.world 3 weeks ago
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.
tiredofsametab@fedia.io 3 weeks ago
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).
FauxLiving@lemmy.world 3 weeks ago
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.
tiredofsametab@fedia.io 3 weeks ago
I don't think this is a problem in a lot of the world. Commercial kitchens already have rules and inventory management systems. The only thing I could think of where it might be useful is looking for mold on things, but I suspect most people are using containers into which something couldn't clearly see.
Maybe? It would still need to learn all the dishes the person has and what clean and nonclean versions are. That training and calling the model has its own environmental impacts and I don't know that implementing it would save energy over the life of the appliance due to the extra costs in energy to train and call it.
My washer has settings for heavier and lighter washes based on what's going in (as does my clothes washer)
They do not.
This could all be done with sensors and rules and, in fact, was. Unless we're being super loose with what "machine learning" means here. We've been teaching robots to semi-autonomously navigate courses and return for ages.
That's so gross to me personally that I don't want to think about it. Both from a security as well as environmental perspective. I also disagree that it's close, at least for how I think you're using "close" here.
Alphane_Moon@lemmy.world 3 weeks ago
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.
FauxLiving@lemmy.world 3 weeks 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.