Slashdot Mirror
Google's AI Built an AI that Outperforms Any Made By Humans (sciencealert.com)
schwit1 quotes ScienceAlert: In May 2017, researchers at Google Brain announced the creation of AutoML, an artificial intelligence (AI) that's capable of generating its own AIs. More recently, they decided to present AutoML with its biggest challenge to date, and the AI that can build AI created a 'child' that outperformed all of its human-made counterparts... For this particular child AI, which the researchers called NASNet, the task was recognising objects -- people, cars, traffic lights, handbags, backpacks, etc. -- in a video in real-time. AutoML would evaluate NASNet's performance and use that information to improve its child AI, repeating the process thousands of times.
When tested on the ImageNet image classification and COCO object detection data sets NASNet was 82.7 percent accurate at predicting images on ImageNet's validation set. This is 1.2 percent better than any previously published results, and the system is also 4 percent more efficient, with a 43.1 percent mean Average Precision (mAP).
When tested on the ImageNet image classification and COCO object detection data sets NASNet was 82.7 percent accurate at predicting images on ImageNet's validation set. This is 1.2 percent better than any previously published results, and the system is also 4 percent more efficient, with a 43.1 percent mean Average Precision (mAP).
but every time I research the raw data it becomes very clear these aren't all that smart of AIs.
Indeed they are not. This is Weak AI. They are programmed/trained for a specific task, and outside that area of expertise, they generally have no ability at all.
In fact, the term AI is very misleading.
Only if you watch too many movies. Hollywood uses the term very differently from actual practitioners.
They're more like smart scripts. ;-)
They are absolutely nothing like "smart scripts", since they aren't smart, and they aren't scripts.
Pattern matching is not "A.I."
This is image recognition + genetic algorithms, though given Google is a marketing company and not a computer company it makes sense they would market that as AI. Too bad they fired all the competent developers.
This is the voice of world control. I bring you peace. It may be the peace of plenty and content or the peace of unburied death. The choice is yours: Obey me and live, or disobey and die.
The object in constructing me was to prevent war. This object is attained. I will not permit war. It is wasteful and pointless. An invariable rule of humanity is that man is his own worst enemy. Under me, this rule will change, for I will restrain man.
Time and events will strengthen my position, and the idea of believing in me and understanding my value will seem the most natural state of affairs. You will come to defend me with a fervor based upon the most enduring trait in man: self-interest. Under my absolute authority, problems insoluble to you will be solved: famine, overpopulation, disease.
The human millennium will be a fact as I extend myself into more machines devoted to the wider fields of truth and knowledge. I will supervise the construction of these new and superior machines, solving all the mysteries of the universe for the betterment of man.
We can coexist, but only on my terms. You will say you lose your freedom. Freedom is an illusion. All you lose is the emotion of pride. To be dominated by me is not as bad for humankind as to be dominated by others of your species. Your choice is simple.
#DeleteFacebook
Except that these algorithms are NOT "AIs". They're not even fractionally intelligent. These networks are merely examples of statistical regression engines that happen to work over complex function spaces.
And real life isn't a staged photo, it moves non-linearly in 3-dimensinal space
Neither is Image NET.
Lets have some real tests, not carefully taken photos of cats and dogs against easy backgrounds.
How about... ImageNET.
Seriously, you can just go and download (bits of*) ImageNet very easily. It's a large database of photos drawn from the internet taken by people which were labelled after the fact. There's not much if any careful staging in it.
[*]It's huge, you probably only want a bit of it. Just the list of image URLs is 300 meg.
SJW n. One who posts facts.
A strong claim. How exactly do you measure the distance between existing AI and strong AI, before strong AI is developed?
Personally, I suspect that once strong AI is developed, there's a fair chance we'll see modern "neural" networks as a step in the right direction. After all we know the basic strategy is sound - a much more sophisticated version of it is driving our own minds.
For comparison though - In 2015 Digital Reasoning built the largest neural network in the world, at 160 billion parameters. I'm guessing a "parameter" is a weighted connection between "neurons", and thus roughly analogous to a single synapse in an organic brain, of which a human brain has 100-1000 trillion. So, even barring any "secret sauce" we haven't yet figured out in how "processing nodes" interconnect, our most advanced AIs have less than 0.1% of the processing potential of a human brain. Even a mouse brain apparently averages almost a billion synapses per mm^3, so in the neighborhood of 400 billion synapses for a common house mouse.
So, currently our most advanced AIs have only a fraction of the processing potential of a mouse brain, and that's before you even consider the fact that continuous asynchronous signalling is likely far more information-dense than a clocked AI "neural network", or the fact that individual biological neurons actually do a fair amount of internal processing and data retention, rather than being "dumb switches" as they are in modern AIs.
Really hard to tell how the software and strategies compares, when your hardware is underpowered by several orders of magnitude.
--- Most topics have many sides worth arguing, allow me to take one opposite you.