Artificial Intelligence

The thought of biology, artificial intelligence, and nanotechnology convergence promoting a scientific and technical revolution has been lingering for more than a decade now. Although, this multidisciplinary research's expected integration is still in progress. Knowledge of engineering, chemistry, and physics is combined by nanotechnology meanwhile artificial intelligence highly depends on the biological inspiration for developing some of its most effective paradigms, for instance, evolutionary algorithms or neural networks.

If the link between current artificial intelligence and nanosciences is bridged then it is capable of boosting research in these disciplines and offering communication technologies and information to the new generation which will impact our society on a large scale, and possibly will provide the means for the merging of biology and technology. Alongside this, tools have been used by different efforts from artificial intelligence in basic and applied nanoscience research, for instance, for interpreting the experimental techniques or for helping in the structural design of devices and nanomaterials.

Unknown or complex data or functions can be represented and generalized by Machine learning methods, and when it comes to the treatment of interacting parameters, they are very efficient. In addition, nano computing, nanodevices, and nanomaterials provide increased power as effective architectures for implementing machine learning methods and AI, and generally, computer science can get an advantage from that increase in power. This bidirectional interaction between nanotechnology and AI has various usages and applications.