5

Easy answer: utility. The strength and applicability of "black box" NNs has been regularly validated in the past few years, and business is concerned with results. (i.e. they don't care how the sausage is made, so long as it gets made.)


3

The human brain is a black box too (so far), but we keep investing in them too. There is no back end to a network. There are inner layers, and one can analyze what they might represent conceptually sometimes, such as in the case of computer vision convolution layer sequences. That is also true of brain neural networks. There are many proofs in AI ...


3

Self-flight is already running on all commercial airlines, but only at the cruising altitude. When you flight from London to New York, most of the time the pilots are monitoring the autopilot systems. Running AI on cruising altitude is arguably a simper problem than self-driving cars. The system has been in-place for years. The real danger of airlines is ...


3

According to the Baidu Research's blog post How Baidu is harnessing the power of AI in the battle against coronavirus (12-03-2020), there are already some artificial intelligence tools or algorithms being used to fight the coronavirus. Given that I cannot confirm that these AI tools and algorithms I will mention are really being used in practice, I will only ...


3

Deep learning is used to perform language translation in Google Translate [1]. Specifically, Google Translate now uses transformers and RNNs rather than the original GNMT system (proposed in 2016), which was also based on neural networks. Deep learning is also used in DeepL (though I cannot find a good resource to cite apart from Wikipedia [2] given that the ...


2

I think that the universal approximation theorem plays a large role in why companies and governments are investing in deep learning, it states that theoretically an ann can approximate any continuous function with n-dimension input variables. Specifically it states that feed forward nets with a single hidden layer can do this lending credence to the ...


1

Not really something that slows it down but currently Mauricio Santillana at Harvard is working on modeling the pandemic and has shared some of his approaches. He explained that they have used google search trends to try to predict the number of actual cases (there is a delay between people being sick and getting tested). Looking for search terms like, "how ...


1

Recursive artificial networks are a type aligned well with GDL, and it is an increasingly popular one. Using non-orthogonal geometries is natural when using directed graphs as semantic association, data flow, or composition networks. This more free-form approach enters into industry slowly because most programming languages use orthogonal structures ...


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