However it often comes at a computational price which may hinder their deployment.

The 35th conference on Neural Information Processing Systems (NeurIPS2021) featured eight invited talks. In this post, we give a flavour of the final presentation. Radhika's research focusses on collective intelligence, with the overarching goal being to understand how large groups of individuals, with local interaction rules, can cooperate to achieve globally complex behaviour. Each individual is miniscule compared to the massive phenomena that they create, and, with a limited view of the actions of the rest of the swarm, they achieve striking coordination. Looking at collective intelligence from an algorithmic point-of-view, the phenomenon emerges from many individuals interacting using simple rules.

Welcome to our first monthly digest of 2022! This is the place 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 cover our new series New voices in AI, hear from an ACML award winner, and celebrate an arXiv milestone. We're excited to announce the launch of a new series for AIhub: New voices in AI. Hosted by Joe Daly, this series will highlight the work of PhD students, early career researchers, and those in the field of AI with a fresh perspective.

The 35th conference on Neural Information Processing Systems (NeurIPS2021) featured eight invited talks. In the last of our series of round-ups, we give a flavour of the final presentation. Radhika's research focusses on collective intelligence, with the overarching goal being to understand how large groups of individuals, with local interaction rules, can cooperate to achieve globally complex behaviour. Each individual is miniscule compared to the massive phenomena that they create, and, with a limited view of the actions of the rest of the swarm, they achieve striking coordination. Looking at collective intelligence from an algorithmic point-of-view, the phenomenon emerges from many individuals interacting using simple rules.

The 35th conference on Neural Information Processing Systems (NeurIPS2021) featured eight invited talks. Continuing our series of round-ups, we give a flavour of the next three presentations. In his talk, Peter focussed on the phenomenon of benign overfitting, one of the surprises to arise from deep learning: that deep neural networks seem to predict well, even with a perfect fit to noisy training data. The presentation began with a broader perspective on theoretical progress inspired by large-scale machine learning problems. Peter took us back to 1988, and to a NeurIPS paper by Eric Baum and David Haussler who were interested in the question of generalization for neural networks.

Welcome to our December 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. This month we cover, amongst other things, NeurIPS 2021, sustainable cities and communities, and the BBC Reith Lectures. One of the main events in the AI world this month was the 35th conference on Neural Information Processing Systems (NeurIPS2021). We were lucky enough to attend and only scratched the surface of the vast array of talks, panels, workshops and posters on offer. You can read the first of our round-ups of the invited talks, #NeurIPS2021 invited talks round-up: part one – Duolingo, the banality of scale and estimating the mean.

The first week of the 35th conference on Neural Information Processing Systems (NeurIPS2021) saw eight fascinating invited talks, tutorials, affinity group workshops, and a new datasets and benchmarks track. There were also poster sessions, oral sessions, competitions, demonstrations, and more. With this compilation of tweets, we look back on the week. "The greatest violence is the product of remoteness from reality" – a great talk by Mary L. Gray, The Banality of Scale: A Theory on the Limits of Modeling Bias and Fairness Frameworks for Social Justice (and other lessons from the Pandemic) at #NeurIPS2021 'How duolingo uses AI to Asses, Engage and Teach Better' session @NeurIPSConf is . The invited talk by @lugosi_gabor at #NeurIPS2021 was very enjoyable and also a little disturbing -- if your data isn't Gaussian (or subgaussian), then even basic things become nontrivial.https://t.co/TPByspYh5T The final #NeurIPS2021 keynote starts soon!

The 35th conference on Neural Information Processing Systems (NeurIPS2021) started on Monday 6 December 2021. There are eight invited talks at the conference this year. In this post, we give a flavour of the first three, which covered a diverse range of topics. Duolingo is the world's most downloaded educational app, with around 500 million downloads to date. In his talk, co-founder and CEO Luis described the different ways in which the Duolingo team use AI.

Consequences of Massive Scaling in Machine Learning opening panel #NeurIPS2021 agrees LLMs haven't yet shifted paradigm, but might do so when we find emergent intelligence *without* understanding.