How Artificial Intelligence Is Changing Science
quantamagazine.org
How Artificial Intelligence Is Changing Science
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Re: How Artificial Intelligence Is Changing Science
#2Can we use this to make an app and figure out the optimal diets for everyone? Or a GAN for generating the funniest jokes?
Re: How Artificial Intelligence Is Changing Science
#3The article states positive impacts on science, but there are also negative impacts on science. For instance, the hype of AI has caused a brain-drain on related fields (such as cognitive science or applied mathematics). AI research itself suffers from companies buying up the academic talent. And researchers slap AI (which is usually deep learning) on a decade-old problem, without any care for complexity/benchmarks, implementation/usage, and proper validation methods, just to get published or receive funding.
Re: How Artificial Intelligence Is Changing Science
#4Can we use this to make an app and figure out the optimal diets for everyone? Or a GAN for generating the funniest jokes?
For something like optimal diets for everyone, I imagine it's more of an issue with incomplete understanding of diet, microbiome, genetics, epigenetics, etc. Once that's known, I'd venture to say you don't need AI.
But a GAN where the discriminator is determining if a joke is made by an AI or a human might be pretty cool :)
Re: How Artificial Intelligence Is Changing Science
#5The article states positive impacts on science, but there are also negative impacts on science. For instance, the hype of AI has caused a brain-drain on related fields (such as cognitive science or applied mathematics). AI research itself suffers from companies buying up the academic talent. And researchers slap AI (which is usually deep learning) on a decade-old problem, without any care for complexity/benchmarks, i…
I love how many paper titles nowadays follow the pattern: "Deep-: ". And often they aren't doing anything "deeper" than a fully-connected multilayer neural network--a machine learning algorithm competitive with SVMs and been around well over a decade.
Re: How Artificial Intelligence Is Changing Science
#6Can we use this to make an app and figure out the optimal diets for everyone? Or a GAN for generating the funniest jokes?
For something like optimal diets for everyone, I imagine it's more of an issue with incomplete understanding of diet, microbiome, genetics, epigenetics, etc. Once that's known, I'd venture to say you don't need AI. But a GAN where the discriminator is determining if a joke is made by an AI or a human might be pretty cool :)
> For something like optimal diets for everyone, I imagine it's more of an issue with incomplete understanding of diet, microbiome, genetics, epigenetics, etc. Once that's known, I'd venture to say you don't need AI.
Even if the data exists, doesn't mean the AI folks would use it. In my research (a particular subfield of fluid dynamics), the machine learning/AI papers/talks always seem to have incomplete or even bad data, as if how advanced their algorithm is makes up for that. (I don't think they actually believe that. I think they just have bad habits.) I've published pretty good linear regressions of a much larger data compilation and received much less attention, despite the fact that my linear regressions are probably more accurate than the ML models...
Re: How Artificial Intelligence Is Changing Science
#7Can we use this to make an app and figure out the optimal diets for everyone? Or a GAN for generating the funniest jokes?
> Or a GAN for generating the funniest jokes?
You really want to be careful with that, Monty Python made an excellent documentary about the weaponization of such high grades of humor and the results, to put it mildly, weren't funny.
Re: How Artificial Intelligence Is Changing Science
#8 Very odd and may I say wrong article. The basic about AI provide a breakthrough is ok. But I would not call newton law as simulation.
The real development is verbal non-maths theory. Not simulation. In fact this kind of theory go first. If Aristotle etc. said ... sun must be revolving about earth. Some basic maths (geometry and algebra).
Observation is the second approach. And a breakthrough. Kepler and later Galilei watching juipter’s Moon.
Then maths as a tool. Not just simple verbal theory. Calculus, non-Euclid geometry, wave mechanics, ... to these days physics is nothing but maths like. The sad thing about social science is only data. Only economic has some maths. Still data and verbal theory.
Then computer provide data analysis tool as well as simulation and visualisation. This is an aid more.
Then data as a tool. And the new breakthrough is AI helping to suggest models.
Theory, Mathematical model, Data observation (to disprove, to hint, to post question and to generate theory based on pattern)
then Various tool to assist above including AI.
Re: How Artificial Intelligence Is Changing Science
#9The article states positive impacts on science, but there are also negative impacts on science. For instance, the hype of AI has caused a brain-drain on related fields (such as cognitive science or applied mathematics). AI research itself suffers from companies buying up the academic talent. And researchers slap AI (which is usually deep learning) on a decade-old problem, without any care for complexity/benchmarks, i…
It's also makes for a lot of terrible talks. In my field (bioinformatics) it's frustratingly common for a PI to give a keynote which boils down to "some grads students made DeepX and got an AUC of 0.85 on this problem and some others made ML-Y and got an AUC of 0.78 on this other problem and a postdoc did this other ML thing." There's no details or insight, basically just a sales pitch for their software package. Nothing in the talk can be transferred to other topics. The only time the talk is useful is if you happen to need to solve problem X and they've got a tool to solve it for you. You couldn't give a talk about a statistics model without explaining the model, but it seems to be totally OK to give talks about ML projects without saying anything more than that it's a deep net or random forest.
Re: How Artificial Intelligence Is Changing Science
#10Earlier quoted context omitted.
For something like optimal diets for everyone, I imagine it's more of an issue with incomplete understanding of diet, microbiome, genetics, epigenetics, etc. Once that's known, I'd venture to say you don't need AI. But a GAN where the discriminator is determining if a joke is made by an AI or a human might be pretty cool :)
> For something like optimal diets for everyone, I imagine it's more of an issue with incomplete understanding of diet, microbiome, genetics, epigenetics, etc. Once that's known, I'd venture to say you don't need AI. Even if the data exists, doesn't mean the AI folks would use it. In my research (a particular subfield of fluid dynamics), the machine learning/AI papers/talks always seem to have incomplete or even bad…
Yup. As an outsider looking in on bioinformatics, a lot of the datasets I have played with have some real glaring problems. They often have small amounts of data or some serious bias. A naive ML approach on a lot of sequencing data will probably be undermined by the bias of the sequencing machine and the researcher who processed the biological materials.