This project aimed to critically assess the use of machine learning algorithms for policing, and provide practical recommendations to contribute to the fast-moving debate on policy and governance in ...

This report seeks to critically assess the use of machine learning algorithms for policing, and provide practical recommendations designed to contribute to the fast-moving debate over policy and ...

We develop novel methods to make Bayesian inference more efficient, scalable, and practical. This includes work on variational methods, Monte Carlo algorithms, and techniques for handling complex ...

One of the hallmarks of human intelligence is to be able to incorporate learning, and to get smarter over time as new data gets integrated into your brain’s knowledgebase. Traditionally, computers are ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...