Francesco Tudisco selected for second cohort of Bayes Innovation Fellows

Francesco Tudisco, Reader in Machine Learning, has been selected for the second cohort of Bayes Innovation Fellows.

The Bayes Innovation Fellow Programme supports early career researchers to commercialise their innovation concept.

Francesco has developed a novel algorithmic technology that reduces the number of parameters of large deep learning architectures, significantly reducing the cost and resources required to both train and deploy machine learning models.

He plans to create a commercial platform that will allow large AI models to be deployed much more efficiently at considerably lower cost, delivering customers significant savings and expanding the number of enterprises capable of deploying customised AI models.

Learn more about Francesco's research on the Bayes Centre website