neural network
Whether you're lost on a mountainside, or training a neural network, you can rely on the gradient descent algorithm to show you the way!
Machine learning makes many daily activities possible, but how does it work?
Join us as we follow Kathryn Hess on a mathematical mystery tour of the marvellous intricacy of the brain!
When trying to build an artificial intelligence, it makes sense to mimic the human brain. Artificial neurons do just that.
Artificial neural networks grew out of researchers' attempts to mimick the human brain. In 1997 the Isaac Newton Institute hosted a landmark research programme in the area. Today, neural networks are able to learn how to perform complex tasks and are crucial in many areas of life, from medicine to the Xbox.
We like to think of the human brain as special, but as we reported on Plus last year, it has quite a lot in common with worm brains and even with high-performance information processing systems. But how does it compare to online social networks? In a recent lecture the psychiatrist Ed Bullmore put this question to the test.
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Want facts and want them fast? Our Maths in a minute series explores key mathematical concepts in just a few words.
The COVID-19 pandemic has amplified the differences between us. Understanding these inequalities is crucial for this and future pandemics.
Now it's the turn of mathematicians to help to improve the communities of the future.
There have been accusations that the modelling projecting the course of the pandemic was too pessimistic. Are they justified?
We all know what turbulence is, but nobody understands it.
Find out about the beautifully intuitive concept that lies at the heart of calculus.