Welcome to our July 2021 monthly digest where you can catch up with any AIhub stories you may have missed, get the low-down on recent events, and much more. In this edition we cover ICML 2021, celebrate award winners, check out new AI reports and strategies, and find out who won the AI Song Contest. This month saw the running of the thirty eighth International Conference on Machine Learning (ICML). There were a huge variety of events, including talks, workshops, tutorial, and socials. We were in (virtual) attendance and managed to catch all of the invited talks.

In this post, we summarise the final three invited talks from the International Conference on Machine Learning (ICML). These presentations covered: how machine learning can complement randomised controlled trials, encoding and decoding speech, and molecular science. Esther's work centres on the use of randomised controlled trials (RCT) and she runs policy experiments with the aim of understanding which policies work and which don't. Her work is particularly focussed on reducing poverty. Work of this type involves many causal questions, for which there are often many competing ideas. Such is the field that there is no real guidance for theory; experiments are needed to determine successful policies.

Excited to share our new work on measuring and mitigating social biases in pretrained language models, to appear at #ICML2021!

In this post, we summarise the first two invited talks from the International Conference on Machine Learning (ICML). These presentations covered the fascinating topics of drug discovery, and the cryosphere. In Daphne's talk, she outlined some of the work she has been doing on transforming drug discovery using digital biology. To introduce the topic, Daphne described drug discovery as an interesting space that one can view as glass half-full or glass half-empty. The half-full version is demonstrated by the amazing advances in new medicines, such as vaccines, cell therapies, genetically targeted therapies, and cancer immunotherapies.

The thirty eighth International Conference on Machine Learning (ICML) is now underway and will run for the entirety of this week (18 – 24 July), in a virtual only format. There will five invited talks to enjoy, as well as workshops, tutorials, affinity events and socials. Challenges in Deploying and monitoring Machine Learning Systems INNF: Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models ICML Workshop on Theoretic Foundation, Criticism, and Application Trend of Explainable AI Tackling Climate Change with Machine Learning Theory and Foundation of Continual Learning ICML 2021 Workshop on Unsupervised Reinforcement Learning Human-AI Collaboration in Sequential Decision-Making ICML Workshop on Representation Learning for Finance and E-Commerce Applications Reinforcement Learning for Real Life Uncertainty and Robustness in Deep Learning Interpretable Machine Learning in Healthcare 8th ICML Workshop on Automated Machine Learning (AutoML 2021) Theory and Practice of Differential Privacy The Neglected Assumptions In Causal Inference Machine Learning for Data: Automated Creation, Privacy, Bias ICML Workshop on Human in the Loop Learning (HILL) ICML Workshop on Algorithmic Recourse A Blessing in Disguise: The Prospects and Perils of Adversarial Machine Learning International Workshop on Federated Learning for User Privacy and Data Confidentiality in Conjunction with ICML 2021 (FL-ICML'21) Workshop on Socially Responsible Machine Learning ICML 2021 Workshop on Computational Biology Subset Selection in Machine Learning: From Theory to Applications Workshop on Computational Approaches to Mental Health @ ICML 2021 Workshop on Distribution-Free Uncertainty Quantification Information-Theoretic Methods for Rigorous, Responsible, and Reliable Machine Learning (ITR3) Beyond first-order methods in machine learning systems Self-Supervised Learning for Reasoning and Perception Time Series Workshop Workshop on Reinforcement Learning Theory Over-parameterization: Pitfalls and Opportunities