Cambridge Residency Programme : Machine Learning for Signal Processing

Machine learning is having a transformative effect on many research areas, fundamentally altering the way many problems are approached, and the scope of what is achievable.

Project Silica is developing a revolutionary storage technology by using femtosecond lasers to store data in glass. The project provides an unprecedented opportunity to completely re-think how storage systems are built, and build a storage technology that’s end-to-end optimized solely for the cloud, from the materials level up to the user interface.

Machine learning plays a critical role in the development and existence of the technology, enabling unprecedented information densities to be recorded and successfully read back from glass, facilitating end-to-end optimization of the write and read processes across hardware and software, and more.

The Project Silica team is highly multi-disciplinary, comprising computer scientists, physicists, optical scientists, chemists, electrical and mechan...