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(241 replies)
No.13732514 ViewReplyLast 50OriginalReport
What are the positive effects of global warming?
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(154 replies)

Proxima Centauri signal

No.13741680 ViewReplyLast 50OriginalReport
Uhhhhhhhh /sci/? Scientifically, what's going on here?
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(13 replies)

You Wouldn't Patent the Sun

No.13752423 ViewReplyOriginalReport
Autism Spectrum Variability in Symptoms May Be Explained by Understanding Autism as Neuronal Dopamine Metabolism Disorder and Firing Asynchronicity Disorder in Select Cells

After reading a recent study that looked at what factors may contribute to the efficiency of natural neural networks within brain tissue, a study done in the hopes of supporting more efficient artificial neural networks in computer systems, it occurred to me that there may be a connection between the findings of that study and previous autism studies that speculated erroneously that autism may be caused by proximal clumping of neurons irregularly throughout the brain. I postulate that rather than proximal clumping being the culprit, something which has already been debunked, an unusually wide firing time variability between healthy and unhealthy neuron cells caused by altered dopamine metabolism may be to blame.

“Study A” found definitively that neural networks in the brain work more efficiently because some neurons take “longer to decide upon” a response to a stimulus while others respond almost instantly. In neuronal systems that uniformly respond quickly or slowly, the result is more frequently an incorrect decision by the logical circuit. This makes good sense when you consider that this has always been true on the macro level when it comes to decision making. Different cells, different neurons, and even different regions of the brain not all reaching a conclusion at the same moment allow for a sort of dialogue to take place that forms a more powerful consciousness than what is possible where all neurons respond in unison (because it is impossible to speak and listen at the same time.)
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(12 replies)

why is math in sciences so much harder than math in pure math?

No.13753278 ViewReplyOriginalReport
so im currently taking real analysis and signal and processing (ee major with math minor). so far im not having too much trouble around real anal (not besides getting accustomed to proofs and my brain being slow sometimes). however, when working with signals and fourier transforms, my brain seems to not be able to process shit. all the math seems arbitrary, with multiple leaps of logic. the notation is also clunky, which makes it even harder to understand as you read the text.

i've found this feeling in other subjects as well, like physics, but im currently feeling it much stronger than ever.
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focus

No.13749006 ViewReplyOriginalReport
What's a good way to keep your focus while studying for long periods of time? Pomodoro breaks are too distracting, how do I do it naturally? Is it something that can be trained or do I have to start popping ADHD meds

One of my biggest distractions is probably YouTube and texting. How do I soften my YouTube addiction?
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Brain POWER

No.13754711 ViewReplyOriginalReport
Why does a human brain consume so much less energy than something like a gaming PC? How is the human brain so much more efficient? Or am I asking the wrong question here? Pic unrelated
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(14 replies)
No.13754765 ViewReplyOriginalReport
Has he expanded on this yet? It seems like he just said "I'm quitting because I can't get the job done" and didn't elaborate on what he actually meant whatsoever.
If he meant that the Chinese state uses AI in daily life more, I agree, but that's mainly because they're a controlling surveillance state on a degree American libertarians can't even comprehend. Private tech in the USA like Nvidia, Google, Facebook, AMD, Amazon, and Intel are absolutely the forerunners in AI. I don't see what China has that's outcompeting them outside of a surveillance infrastructure.
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No.13755440 ViewReplyOriginalReport
Biologically speaking, what is the reason for pre-pubescent girls being able to orgasm?
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No.13755264 ViewReplyOriginalReport
If we are creating 10 problems every time we solve one, what's the point of technological progress?

Is it just about power? Is worth it?
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