Scientists have designed a novel nonlinear circuit that can harvest clean power from thermal fluctuations using graphene. This contradicts the famous claim by Richard Feynman that Brownian motion cannot perform useful work. The circuit could provide a new source of energy that does not depend on temperature gradients or fossil fuels. #graphene #energy #Feynman
https://phys.org/news/2023-08-scientists-nonlinear-circuit-harvest-power.html?utm_source=flipboard&utm_content=HariTulsidas%2Fmagazine%2FArchetypes
Sometimes expediency and pragmatism have their place, and a balanced approach will yield better long term results.
I'm sure the knee jerk screaming and yelling, and cherry picking only the #science that is appealing to yourselves, may feel good.
The rest of us with varied opinion understanding and experience will continue to disregard that, in favor of that which is measured, as 'known' and effective.
I have to concede you've been taught well by the Alt right wack job climate deniers.. however I don't know why you persist on stealing plays from their play book.. I seem to recall #imitation being the height of flattery, no?
#Feynman would probably be laughing his arse of at #Greens if it was not so serious.. they've clearly failed his first rule..
#science #imitation #feynman #greens
Being Feynman's Curious Sister - Joan Feynman - 5/11/2018 - YouTube
https://www.youtube.com/watch?v=fuN8UzQCRWo
#science #physics #climatechange #feynman
The Fall of Rome has inspired digital house cleaning on my part. Here, look at my garage sale of links.
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#Feynman: "it doesn’t make any sense to calculate after the event. You see, you found the peculiarity, and so you selected the peculiar case"
https://archive.org/details/meaningofitallth0000feyn_d8d3/page/80/mode/2up?q=%22it+doesn%E2%80%99t+make+any+sense+to+calculate+after+the+event%22&view=theater
Special trending case: #CrossValidation (where data for selecting/tuning a model are also used to test it, with allegedly "clever" methods to avoid fooling oneself) and other #MachineLearning math. tricks where many dimensions/parameters are tuned by using much less data
Without a deep understanding, black-box tools lead astray
#feynman #crossvalidation #machinelearning
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Again #Feynman: "it doesn’t make any sense to calculate after the event. You see, you found the peculiarity, and so you selected the peculiar case"
https://archive.org/details/meaningofitallth0000feyn_d8d3/page/80/mode/2up?q=%22it+doesn%E2%80%99t+make+any+sense+to+calculate+after+the+event%22&view=theater
Special cases: #CrossValidation (where data for selecting/tuning a model are also used to test it, with allegedly "clever" methods to avoid fooling oneself) and other #MachineLearning math. tricks where many dimensions/parameters are tuned by using much less data.
Without a deep understanding, black-box tools lead astray.
#feynman #crossvalidation #machinelearning
3/
Again #Feynman: "it doesn’t make any sense to calculate after the event. You see, you found the peculiarity, and so you selected the peculiar case"
https://archive.org/details/meaningofitallth0000feyn_d8d3/page/80/mode/2up?q=%22it+doesn%E2%80%99t+make+any+sense+to+calculate+after+the+event%22&view=theater
Special cases: #CrossValidation (where data for selecting/tuning a certain model are also used to test it, with allegedly "clever" methods to avoid fooling oneself) and other #MachineLearning math tricks where many dimensions/parameters are tuned by using much less data
Without deep knowledge, black-box tools are so risky
#feynman #crossvalidation #machinelearning
3/
Again #Feynman: "it doesn’t make any sense to calculate after the event. You see, you found the peculiarity, and so you selected the peculiar case"
https://archive.org/details/meaningofitallth0000feyn_d8d3/page/80/mode/2up?q=%22it+doesn%E2%80%99t+make+any+sense+to+calculate+after+the+event%22&view=theater
Special cases: #CrossValidation (data for selecting/tuning a model also used to test it, with allegedly "clever" methods to avoid fooling oneself) and other #MachineLearning tricks where many dimensions/parameters are tuned by using much less data.
#feynman #crossvalidation #machinelearning
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A more specific problem (special case of the point #Feynman made so clear) deals with #CrossValidation (where data for selecting/tuning a model are also iteratively used to test it, with allegedly "clever" methods to avoid fooling oneself) and other #MachineLearning mathematical tricks where many dimensions/parameters are tuned by using much less data.
So easy to fall into #overfitting, or modelling not only the studied "signal" in these few data but also (or mostly) their useless noise.
#feynman #crossvalidation #machinelearning #overfitting
3/
A more specific problem (special case of the point #Feynman made so clear) deals with #CrossValidation (where data for selecting/tuning a model are also iteratively used to test it, with allegedly "clever" methods to avoid fooling oneself) and other #MachineLearning mathematical tricks where many dimensions/parameters are tuned by using much less data. So easy to fall into #overfitting, or modelling not only the studied "signal" in these few data but also (or mostly) their useless noise.
#feynman #crossvalidation #machinelearning #overfitting
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The #epistemology problem remains how easily our #CognitiveBiases may fool ourselves when we try in good faith to select a promising scientific idea…
Selecting a model (its parameters, covariates, architecture, …) and testing it should be completely different steps, done with different data:
"there is no sense in calculating the probability or the chance that something happens after it happens" (#Feynman: below, two archived versions)
#epistemology #cognitivebiases #feynman
"what is not surrounded by uncertainty cannot be the truth."
If only Richard #Feynman was still around. He'd make mincemeat of Elon #Musk and his sycophants
#SpaceXFail