General How good is your home office? A data centric approach A fun, data-centric modelling project built in collaboration with Hasty.AI
Causal Inference Series #2 Introduction to Causal Inference Series: Causal Graphs and Related Statistical Paradoxes Causal graphs help find insight into causal relationships in data.
Healthcare AI and public health The covid-19 pandemic has accelerated adoption of digital tools to support public healthcare services.
Causal Inference Series #1 Introduction to Causal Inference Series: Motivation An exploration of the importance of causation when finding relationships in data.
General AI & Regulation As the pace of global innovation has undoubtedly been intensified by developments in AI, such seismic changes have inevitably garnered scrutiny from governments and regulators. There is growing fear of a so-called ‘information gap’...
General Data Privacy- what do we need to know? Privacy is a fundamental human right, but what does this look like in the increasingly digitised world?
Climate Change OceanMind – A data-driven approach to tackling overfishing Using AI and satellite information to tackle overfishing in the world's oceans.
Machine Learning Series #3 Intro to ML Series: Probabilistic view on Linear Regression Maximum likelihood approach to linear regression. Using probability to get to the same conclusion.
Climate Change Fighting pollution with AI – A UK Case Study The UK has planned to tackle this pollution problem by leveraging AI to power traffic lights.
Machine Learning Series #2 Intro to ML Series: Linear Regression - The Normal Equation This intro to Machine Learning series reconciles the black box approach to AI by giving a basic insight into the inner machinery of ML.
Climate Change How DeepMind's AI Framework made Google Energy Efficient In 2016, DeepMind developed an AI framework which reduced the amount of energy used for data centre cooling by 40%
Climate Change The Future of Food: Predicting Crop Yields with Machine Learning There are limitless potential use cases for machine learning and predicting crop yields.
General The UK and a national AI strategy In early January 2021, the UK AI council released an AI roadmap that outlined the need for a UK national AI strategy.
Climate Change How deep learning is disrupting extreme weather prediction Deep learning contrasts the incumbent weather prediction approach with a “data-driven” process which seeks to extrapolate more “efficient representations” of the underlying trends.
Healthcare Artificial Intelligence in the COVID-19 era AI or specifically machine learning is excellent for repetitive tasks that require big data analysis, making it apt for use in drug development.
