Innovation Case Study How OptimumT is Building AI Systems That Learn, Adapt, and Collaborate Executive Summary Autonomous drones have evolved rapidly over the past decade. They can navigate predefined routes, avoid obstacles, and execute increasingly sophisticated missions. Yet one fundamental…
What if machines didn’t just follow instructions—but wanted to explore? What if autonomous systems could push beyond rigid programming and begin to learn with intent, adapt with purpose, and act with curiosity? At OptimumT, this is not a distant idea.…
Hello, OptimumT followers and innovators! We are thrilled to share some insights into a project that perfectly aligns with our mission at OptimumT to deliver cutting-edge AI solutions. We’re talking about truly groundbreaking research that is poised to revolutionize 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…
Recently we released Blizzard. It is capable of doing hybrid optimization using GELAB. Hybrid optimization is an important family of learning algorithms. Its main benefit in plain words is that it is helpful for training machines to perform intricate tasks.…
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…
Hi folks, We have made the source code of NUAV testbed available in the public domain. Now you can clone the repository and play with it. Detailed instructions are given in the readme files. Happy droning! Adil Raja / NUAV…
We have been working on simulating autonomous drones for quite some time now. We published details of our work in the past. Recently, we thought about publishing our experiences with the feat of simulating drones. Autonomous unmanned aerial vehicles (UAVs)…
In a remote town of Pakistan, in an increasing rural setup, we developed a testbed for simulating drone planes. Our idea was that if we could glue a cutting-edge flight simulator with state-of-the-art machine learning algorithms, innovation will follow spontaneously.…
We believe that simulations can lead to better systems. This is to say that instead of employing real hardware for development, it would be much better to simulate them first somehow. Having the shrewdness of artificial intelligence behind, and the…