AI brain and human brain
A recent study highlighted that Assignment help Luton and artificial intelligence learning systems are quite distinct from the way our brains function. We will discuss everything in the article.
The emerging knowledge
University of Oxford and the Department of Computer Science along with the MRC Brain Network Dynamic Unit have worked and produced tremendous research to understand Artificial Intelligence and the human brain.
The human excellence
Accentuated how the human brain works and how they create connections between neurons when humans focus on learning. This particular research Assignment Help Leicester will give us an adequate picture of the brain Network and enlightenment learners and their learning algorithm and even help Artificial Intelligence and humans learn faster.
Correction between human brain And AI
As we are aware, human learning is a bit diverse from artificial learning but the research is attempting to find a connection between artificial Intelligence and the human brain.
When we are processing information there is a pipeline that is responsible for output error.
Similarly in artificial intelligence that is done by backpropagation which is we try to adjust the model’s parameter to try to ameliorate any kind of error. when it comes to output. Multiple research studies have believed that the brain also has similar patterns of learning principles.
Not forgetting the human brain superiority
Although we cannot forget that one system that is biologically human is way superior when it comes to learning systems if we compare it to current Technology. Let’s take a simple example, humans can remember information just by seeing it once or just reading it once, however Assignment Help Sheffield for artificial intelligence that information or that data needs to be trained on and they have to be acquainted multiple times to work on it.
We furthermore want to highlight that a human brain can comprehend information or add more information to its knowledge but artificial intelligence has limited space, so we can expand the limit of artificial intelligence. Nonetheless, it is a limited description of human knowledge and the learning process.
The research gap
Professor Rafel from MRC brain network dynamic units discusses between the models and the performing a perspective configuration. As he highlighted, we do not have detailed knowledge about the anatomy of brain networks and we oversee a lot of future research and researchers to draw clean pictures. The research and development to understand the human brain Network and similarly the gap, we have in the research field of AI. We do not have reasonable arguments about how real brains understand work and how the algorithm works. There to create a correlation between artificial Intelligence and the human brain we demand a lot of research in both fields of human brain network as well as artificial intelligence algorithms.