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When someone talks about AI, or machine learning, or deep convolutional networks, what they’re really talking about is — as is the case for so many computing concepts — a lot of carefully manicured math. At the heart of these versatile and powerful networks is a volume of calculation only achievable by the equivalent of supercomputers. More than anything else, this computational cost is what is holding back applying AI in devices of comparatively little brain: phones, embedded sensors, cameras.
If that cost could be cut by a couple orders of magnitude, AI would be unfettered from its banks of parallel processors and free to inhabit practically any device — which is exactly what XNOR.ai, a breakthrough at the Allen Institute for AI, makes possible.
XNOR.ai is, essentially, a bit of clever computer-native math that enables AI-like models for vision and speech recognition to run practically anywhere. It has the potential to be transformative for the industry.
originally posted by: AMNicks
a reply to: neoholographic
I never understood the obsession with A.I, why create something that will;
1. make us completely obsolete
2. Cost us jobs and lively hoods
3. make generations of useless untalented slobs.
I cant see it bringing any good to our future.
originally posted by: neoholographic
You will walk into the kitchen and have conversations with your microwave, stove and fridge.
originally posted by: Nucleardoom
So what your telling us is skynet will soon be living in our toaster? Letting A.I. out of it's "prison" sounds eerily similar to opening Pandora's Box.
That my ideals fall flat because human instinct will ruin everything? That's there no point being idealistic because at the end of the day evil man will rain on my parade?
The latter is a result of a flawed socio-economic system and not a flawed technology.