2 min read
Quantum computers have the potential to be exponentially faster than traditional computers, revolutionising the way we currently work. While we are still years away from general-purpose Quantum Computing, Bayesian Optimisation can help to stabilise...
2 min read
Even with low cost widely available cloud computing, it can take significant time and compute power to train machine learning models on large data sets. This is expensive and is often at odds with the net-zero carbon goals of many organisations...
3 min read
Black box optimisation in Machine Learning is a pretty common scenario. More often than not, the process or model we are trying to optimise does not have an algebraic model that can be solved analytically.
