Moving beyond raw performance to AI systems that treat people equitably. Artificial Intelligence has become a decision-maker in areas once reserved for humans — from who gets approved for credit to who receives healthcare support. But with this power comes responsibility. Too often, AI systems inherit biases from the data they are trained on. The […]
We have been publishing about grammatical evolution in quite a lot of detail in the past. Here is another one. In this work, we have developed the ability to evolve multi-input multi-output neural networks using grammatical evolution. The main target application that we foresaw was the domain of unmanned aerial vehicles and driverless cars. Both […]
Recently we have been involved in the development of multiple-input multiple-output (MIMO) neural networks. These can be useful for training intelligent controllers. And that was our focus too. We aim to use them for the design of smart controllers for driverless cars as well as unmanned aerial vehicles. By implementing this capability we have taken […]