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Introducing new voices in AI

We share the news on our latest series
20 January 2022, by

Artificial intelligence helps speed up ecological surveys

A deep-learning model for counting the number of seals in aerial photos that is considerably faster than doing it by hand.
24 January 2022, by

An energy-based perspective on learning observation models

We propose a conceptually novel approach to mapping sensor readings into states.
21 January 2022, by

RLiable: towards reliable evaluation and reporting in reinforcement learning

Practical approaches to improve the rigour of deep reinforcement learning algorithm comparison.
19 January 2022, by


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The Machine Ethics Podcast: 2021 in review with Merve Hickok

Host Ben Byford chats to Merve Hickok about EU legislation, systemic dogma, the Reith lectures, autonomous weapons, and more.
18 January 2022, by

Maria Gini wins the 2022 ACM/SIGAI Autonomous Agents Research Award

Congratulations to Maria Gini on winning this prestigious award, recognising her research and leadership in the field of robotics and multi-agent systems.
17 January 2022, by

#NeurIPS2021 invited talks round-up: part two – benign overfitting, optimal transport, and human and machine intelligence

Continuing our series of round-ups of the invited talks from NeurIPS, we cover three more presentations.
14 January 2022, by

AI Standards Hub – a new UK initiative

The Alan Turing Institute will pilot a new initiative concerned with technical standards for AI.
13 January 2022, by

Forthcoming machine learning and AI seminars: January 2022 edition

A list of free-to-attend AI-related seminars that are scheduled to take place between 13 January 2022 and 28 February 2022.
12 January 2022, by

Interview with Chien Lu: analyzing text documents with sophisticated covariates

Chien Lu received a runner up award for best student paper at ACML 2021. Here, he tells us more about this work.
11 January 2022, by

Which mutual information representation learning objectives are sufficient for control?

How can we best design representation learning objectives?
10 January 2022, by

What is AI? Stephen Hanson in conversation with Terry Sejnowski

In this conversation, Stephen Hanson and Terry Sejnowski discuss the history of neural networks, neural modelling, and much more.
07 January 2022, by

Hot papers on arXiv from the past month: December 2021

What’s hot on arXiv? Here are the most tweeted papers that were uploaded onto arXiv during December 2021.
06 January 2022, by

The Machine Ethics podcast DeepDive: AI and games

In this Deepdive episode Ben chats to Amandine Flachs, Tommy Thompson and Richard Bartle about AI in games.
05 January 2022, by

Keeping one step ahead of earthquakes

Damaging earthquakes can strike at any time. While we can’t prevent them from occurring, we can make sure casualties, economic loss and disruption of essential services are kept to a minimum.
04 January 2022, by

Understanding user interfaces with screen parsing

We introduce the problem of screen parsing, which we use to predict structured user interface models from visual information.
03 January 2022, by

Bridge data: boosting generalization of robotic skills with cross-domain datasets

With our proposed dataset and multi-task, multi-domain learning approach, we have shown one potential avenue for making diverse datasets reusable in robotics.
30 December 2021, by

Artificial intelligence in 2021: the AIhub roundup

As 2021 draws to a close we look back on some of the notable research developments, awards, news and policy in the world of artificial intelligence.
30 December 2021, by

Hot papers on arXiv from 2021

Find out which were the most-tweeted papers on arXiv from each month in 2021.
27 December 2021, by

AI holidays 2021

Here's a sample of AI-themed holiday videos, images and stories to get you into the spirit this season.
24 December 2021, by

Some highlights from our focus on the UN SDGs

As 2021 draws to a close, we pick some of our favourite interviews and articles from our focus series on the UN sustainable development goals.
22 December 2021, by

Why generalization in RL is difficult: epistemic POMDPs and implicit partial observability

In this blog post, we will aim to explain why generalization in RL is fundamentally hard, even in theory.
21 December 2021, by

AIhub monthly digest: December 2021 – #NeurIPS2021, sustainable cities and the Reith lectures

Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
20 December 2021, by

Radical AI podcast: featuring Raziye Buse Çetin

In this episode, Dylan and Jess chat to Raziye Buse Çetin about decolonial AI.
17 December 2021, by

Robot reinforcement learning: safety in real-world applications

How can we make a robot learn in the real world while ensuring safety? In this post, best paper award finalists at CoRL explain all.

Harnessing the power of AI to elucidate mobile traffic consumption at city scale

Mobile traffic analysis can provide many insights. Find out more about work on obtaining high-resolution traffic maps using AI methods and aggregate data.
15 December 2021, by

Interview with Huy Ha and Shuran Song: CoRL 2021 best system paper award winners

The award-winning authors describe their work on a self-supervised framework for cloth unfolding which uses a pick, stretch, and fling primitive for a dual-arm setup from visual observations.
14 December 2021, by

#NeurIPS2021 in tweets – highlights from the first week

Find out what attendees have been up to at the Neural Information Processing Systems conference.
13 December 2021, by

Designs from data: offline black-box optimization via conservative training

In this post, we discuss offline model-based optimization and some recent advances in this area.
10 December 2021, by

#NeurIPS2021 invited talks round-up: part one – Duolingo, the banality of scale and estimating the mean

There are eight invited talks at the conference this year. In this post, we give a taster of the first three.
09 December 2021, by







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