81–90 of 436 posts
It's all subjective, but as a data analyst I'm excited about probabilistic databases. Short version: load your sample data sets, provide a some priors, and then query the population as if you had no missing data. Most developed implementation is BayesDB[1], but there's a lot of ideas coming out of a number of places right now. [1] http://probcomp.csail.mit.edu/bayesdb/
Interesting. Do you know anything about agent modelling? Any ideas how if/it ties to it?
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I've been interviewing junior/intermediate frontend candidates for the past few months now. 90% don't use any test tools, and their biggest complaint is their current employer forcing a new framework/library for the sake of being bleeding edge. While interesting to them, it turns out most of them really just want to see what they can do with vanilla JS.
Why you expect that junior developer (someone with very little or no development experience) will use a test tool or any other development technique? I expect that junior developer in software field should be able to program only.
With the right program and a distinctive chemistry to target in the unwanted cell population, this flexible technology has next to no side-effects, and enables rapid development of therapies such as:
1) senescent cell clearance with resorting to chemotherapeutics, something shown to extend life in mice, reduce age-related inflammation, reverse measures of aging in various tissues, and slow the progression of vascular disease.
2) killing cancer cells without chemotherapeutics or immunotherapies.
3) destroying all mature immune cells without chemotherapeutics, an approach that should cure all common forms of autoimmunity (or it would be surprising to find one where it doesn't), and also could be used to reverse a sizable fraction of age-related immune decline, that part of it caused by malfunctioning and incorrectly specialized immune cells.
And so forth. It turns out that low-impact selective cell destruction has a great many profoundly important uses in medicine.
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This seems incredibly cynical in light of the current breakthroughs in machine learning, and probabilistic modelling. It really feels to me as though the AI revolution isn't something to dream about anymore, because we're living in it. I find it difficult to deny the achievement of tangible progress that is implied by, for example, the self-driving car.
UNINFORMED OPINION by a side-watcher: I don't feel there's any AI revolution at all. We simply have slightly more efficient deep learning networks due to better hardware. Most of the time it feels like the people who are somewhat successful in those branches simply got lucky by randomly mixing elements A, B and C in an unexpected manner and boom -- magic. In other words, things progress painfully slow and almost alwa…
I built a program that played tic-tac-toe in -94, using a combination of traversing a problem tree while evaluating the positions using a neural network.
To my understanding, this is basically the same approach used to develop a Go player, only that it took a month training a minimal network to do something useful at all at the time on my small Amiga 500...
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Wasn't Tensorflow only usable online, on Google's servers? I am looking for something that is fully independent and 100% runnable on my machines only.
No. Google has a hosted version of tensorflow, called CloudML, but tensorflow is an open source project that can be run anywhere.
as long as you have a Nvidia GPU
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Why you expect that junior developer (someone with very little or no development experience) will use a test tool or any other development technique? I expect that junior developer in software field should be able to program only.
Because we assume that developers are trained professionals, presumably with a CS or software engineering (or both) degrees, and that they've been properly trained in software development - which puts testing front and center.
If by 'testing' you really mean 'unit testing', as I suspect most junior engineers who claim testing experience do, then hope is already lost. The one saving grace is that there is enough churn in webdev that nothing lasts long enough to reveal how fragile it is.
In UX an interesting trend is a flood of Software Tools which help during Design, evaluation, Research, etc.
Also adaptive UI which is changed due to user attributes and past behaviour seems to be trendy now (supported by the online marketing field with auto-optimizing Interfaces which optimize for conversion autonomously, etc.)