Welcome to our August 2022 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. This month, we continue our conference coverage, chat to winners of best paper awards, and listen to some interesting podcasts. Wouldn't it be handy to be able to automatically update information in an outdated article? Well, Robert Logan, Alexandre Passos, Sameer Singh and Ming-Wei Chang designed an algorithm to do just that in their paper FRUIT: Faithfully Reflecting Updated Information in Text. This work won them a best new task award at NAACL 2022 (Annual Conference of the North American Chapter of the Association for Computational Linguistics).

In this post, we summarise the final two invited talks from the International Conference on Machine Learning (ICML 2022). These presentations covered estimation and inference for causal effects, and machine learning for drug discovery and development. Guido's talk covered the topic of estimation and inference for causal effects in panel data settings, in particular focussing on synthetic control methods and difference-in-difference methods. These methods are very popular in the empirical literature in economics, but many questions remain concerning causal effects in these settings. There has been a lot of recent theoretical work trying to improve practices in this field.

Reproduced under a CC-BY-4.0 license from the AlphaFold Protein Structure Database. In this post, we summarise the first two invited talks from the International Conference on Machine Learning (ICML 2022). These presentations covered two very different topics: mathematical theories of machine learning, and machine learning models for healthcare and the life sciences. Towards a mathematical theory of machine learning – Weinan E In his talk, Weinan gave a review of the current status of the field of mathematical theory for neural network-based machine learning. The central theme of his work treats the understanding of high dimensional functions.

The 39th International Conference on Machine Learning (ICML 2022) will take place next week in Baltimore. Below, we summarise the invited talks, tutorials, workshops, and affinity events. The tutorials will take place on Monday 18 July. The workshops will take place on Friday 23 and Saturday 24 July. There will be four affinity workshops this year.