![]() And while AI beat the world champion in Go in 2016, it was trained on data from 160,000 games – the equivalent of playing for five hours each day, for more than 175 years.īrett and his colleagues at Cortical Labs have already demonstrated that biocomputers based on human brain cells are possible. Humans, for example, can learn to distinguish two types of objects (such as a dog and a cat) using just a few samples, while AI algorithms need many thousands. ![]() The article highlights how the human brain continues to massively outperform machines for particular tasks. By comparison, the average human brain has more than 80 billion neurons. They’re aiming for 10 million neurons which would be about the number of neurons in a tortoise brain. That’s about a third the size of a fruit fly brain. They’re starting by making small clusters of 50,000 brain cells grown from stem cells and known as organoids. In their article, published in Frontiers in Science, Smirnova et al., outline the multidisciplinary strategy needed to pursue this vision: from next-generation organoid and brain-computer interface technologies, to new machine-learning algorithms and big data infrastructures. Organoid intelligence (OI) is an emerging scientific field aiming to create biocomputers where lab-grown brain organoids serve as ‘biological hardware’.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |