Our team works in an iterative fashion to research and develop new techniques to apply modern machine learning to designing, creating and interpreting the world.     Expectations on the complexity of designs are rapidly increasing and with new  manufacturing and materials techniques entering the market new methods are required to assist designers in realizing effective  designs.

Not only are sensors becoming cheap and ubiquitous, allowing us to constantly monitor the world, but design information is also rich in semantic content.     By analyzing and learning from this information, sophisticated models can be built to: accelerate and elevate the design process, explore entirely new design concepts, automatically direct design based on real performance feedback, and assist with the construction or assembly of products.    This stands to completely transform how design and creation happens.

Our team works in a number of areas including:

• Deep learning
• Reinforcement learning
• Knowledge representation and semantics
• Geometric shape analysis
• Robotic control and sensing