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Artificial neural networks

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Why Artificial Neural Networks Have A Long Way To Go Before They Can ‘See’ Like Us

 Artificial neural networks were created to imitate processes in our brains, and in many respects – such as performing the quick, complex calculations necessary to win strategic games such as chess and Go – they’ve already surpassed us. But if you’ve ever clicked through a CAPTCHA test online to prove you’re human, you know that our visual cortex still reigns supreme over its artificial imitators (for now, at least). So if schooling world chess champions has become a breeze, what’s so hard about, say, positively identifying a handwritten ‘9’? This explainer from the US YouTuber Grant Sanderson, who creates…
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Designing Artificial Brains Can Help Us Learn More About Real Ones

Despite billions of dollars spent and decades of research, computation in the human brain remains largely a mystery. Meanwhile, we have made great strides in the development of artificial neural networks, which are designed to loosely mimic how brains compute. We have learned a lot about the nature of neural computation from these artificial brains and it’s time to take what we’ve learned and apply it back to the biological ones. Neurological diseases are on the rise worldwide, making a better understanding of computation in the brain a pressing problem. Given the ability of modern artificial neural networks to solve…
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