Computer scientists in Finland have made a breakthrough in artificial intelligence research by using a neurobiological approach to get a deep learning neural network to detect objects in an image all by itself with an accuracy rate of 75%.
The human brain is a wondrous thing – it is so incredibly clever that it has taken decades of research and we are still nowhere close to being able to replicate the lightning-fast computational speed of the mind.
At the moment, the best that computer scientists can come up with are neural networks, which are large networks of artificially intelligent classical computers that are trained using computer algorithms to solve complex problems in a similar way to the human central nervous system, whereby different layers examine different parts of the problem and combine to produce an answer.
The problem is that neural networks require a huge amount of input and training from humans before they can understand how to solve a problem, such as by studying ImageNet, a huge visual database of one million human-annotated images that have been labelled by a human.
This is known as "supervised learning", and true artificial intelligence will not be possible until neural networks can learn how to autonomously perform "unsupervised learning", which is what Finnish start-up Curious AI is trying to achieve.
"The human brain does a lot of unsupervised learning. We don't have to tell a baby all the time that this is a spoon. They learn from the context automatically and they form the concept that this is interesting because someone is holding it in their hand, and they later associate a label for it to go with the concept," Curious AI's CTO Antti Rasmus told IBTimes UK at the Slush 2016 tech conference in Helsinki.
"Forming concepts from objects is easy for humans so we don't even think about it. It's been studied in psychology – known as the Gestalt Principles, where the human brain groups things that have a similar shape, colour, movement, patterns and so on. We're taking the first step to taking the deep learning systems to group objects in the same way the human brain does."
Read more here; www.ibtimes.co.uk/neural-networks-breakthrough-sees-computer-start-think-like-human-first-time-1594986