We are ThinkCDS, a Perth based machine learning consultancy. We focus on the resources industry and specialise in artificial intelligence for point cloud data, aerial imagery, and control systems.Why us?
Image processing is one area where machine learning really excels. You may need a lot of data, but we can help you highlight (segment), circle (detect), or classify your satellite, drone, or aerial data to produce information that is valuable to your customers.
Just like image data, point clouds can be manipulated using machine learning with state of the art results. Sometimes conventional methods such as the point clouds library won't work on your laser, drone, or lidar data. Machine learning has the potential to produce more robust and consistent results with less human input. However this is a new and changing application so the first step is to check to see if your requirements, such as data resolution and response time, make this approach suitable.
Our favourite area! This applies machine learning to control systems. It's difficult to learn to drive a car by watching videos, and the same goes for machine learning agents. That's where the field of reinforcement learning comes in. We let the agent learn to drive in a simulator, then transfer the knowledge to the real world. This is a developing field which currently can be applied to control simple devices, even if the environment is complex and non-linear.
With a Masters in Petroleum Geoscience, Mike has worked in the oil industry before leaving for the data centers of machine learning. He has experience in taking machine learning models all the way to deployment.
With more than a decade of programming experience, and having worked as a researcher in the field of chaotic systems and symbolic dynamics, he now uses his considerable investigative skills in the design and development of reinforcement learning solutions as our Chief Data Scientist.
A developer with a background in statistics. She prefers react over angular and prefers Bayesian rather than frequentist approaches.
We really enjoy hearing about interesting business problems. Email us if you would like to organize a video call where we have a frank discussion on the value and feasibility of applying machine learning to your business problem.