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This article presents an emerging architectural hypothesis of the brain as a biological implementation of aUniversal Learning Machine. I present a rough but complete architectural view of how the brain works under the universal learning hypothesis. I also contrast this new viewpoint - which comes from computational neuroscience and machine learning - with the older evolved modularity hypothesis popular in evolutionary psychology and the heuristics and biases literature. These two conceptions of the brain lead toverydifferent predictions for the likely route to AGI, the value of neuroscience, t...

Really early computational devices The earliest computational devices were actually memory aids in the form of wet clay tablets or even pebbles organize...

Alan Turing was one of the most influential British figures of the 20th century and often considered the father of modern computer science.

How to solve any number sequence puzzle Mon Apr 23 2001 at 16:23:01 A number sequence puzzle is given as a finite sequence of numbers; the challenge is to find the next number in the most obvious extension of the given sequence. For example, given the puzzle 2, 5, 10, 17, we can see it as the start of the following sequence of numbers: 2, 5, 10, 17, 17, 17, 17, 17, 17, .... But that is "not right": there is no good reason to follow up with more numbers 17. So it's not a good answer. But we can find a simple function that generates every number in the sequence: f(n) = n*n + 1. Accordin...

Conclusion (~1,700 words). All backed up by over 200 references (~6,500 words). We must stop crediting the wrong people for inventions made by others. Instead let's heed the recent call in the journal Nature: "Let 2020 be the year in which we value those who ensure that science is self-correcting"[SV20]. Like those who know me can testify, finding and citing original sources of scientific and technological innovations is important to me, whether they are mine or other people's [DL1][DL2][HIN][NASC1-9]. The present page is offered as a resource for computer scientists who share this inclin...