Tech Track: Machine Learning and FPGA-based Hardware Acceleration

Tech Track: Machine Learning and FPGA-based Hardware Acceleration

The main focus of the Custom Computing research group from Imperial College London is hardware acceleration for a range of applications such as finance, genomics, energy, image recognition and mathematical optimisation. We present how different machine learning techniques are employed in the research world in an attempt to try and provide cutting-edge solutions to a multitude of industrial applications. It is important to emphasise the fact that machine learning is becoming such an important part of the global research community, with a strong presence in many research groups, regardless of their primary areas of expertise.