"One of the curious features of the deep neural networks behind machine learning is that they are surprisingly different from the neural networks in biological systems."
What a silly thing to say. It's pretty depressing that there are obviously scientists, engineers, and investors out there with the arrogance and/or naivete to believe that software neural nets are something more than mere conceptual mimicry of layman-level theory about how actual brains work.
What's really sad is that however good brains are at what they do, it's also pretty silly to think that emulating them more closely is a good way to improve digital computer systems, which have entirely different strengths. Yes, take what we can learn from how brains process information efficiently, but don't try to force an incomplete and inaccurate model of brain function onto non-biological hardware and expect it to be anything more than a poor brain and a poor computer.
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"One of the curious features of the deep neural networks behind machine learning is that they are surprisingly different from the neural networks in biological systems."
What a silly thing to say. It's pretty depressing that there are obviously scientists, engineers, and investors out there with the arrogance and/or naivete to believe that software neural nets are something more than mere conceptual mimicry of layman-level theory about how actual brains work.
What's really sad is that however good brains are at what they do, it's also pretty silly to think that emulating them more closely is a good way to improve digital computer systems, which have entirely different strengths. Yes, take what we can learn from how brains process information efficiently, but don't try to force an incomplete and inaccurate model of brain function onto non-biological hardware and expect it to be anything more than a poor brain and a poor computer.