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The life of a dataset in machine learning research – interview with Bernard Koch

Find out more about the advantages and disadvantages of benchmarking, and the lifecycle of datasets within task communities.
17 February 2022, by

New voices in AI: Isabel Cachola

This episode features Isabel Cachola talking about how she got into AI and her work on interpretability of NLP models.
16 February 2022, by

What’s coming up at #AAAI2022?

Find out about the talks, workshops, tutorials, and other events scheduled at AAAI this year, taking place from 22 February - 1 March.
15 February 2022, by

The unsupervised reinforcement learning benchmark

We consider the unsupervised RL problem - how do we learn useful behaviors without supervision and then adapt them to solve downstream tasks quickly?
14 February 2022, by

Improving RL with lookahead: learning off-policy with online planning

We suggest using a policy that looks ahead using a learned model to find the best action sequence.
11 February 2022, by

Forthcoming machine learning and AI seminars: February 2022 edition

A list of free-to-attend AI-related seminars that are scheduled to take place between 10 February 2022 and 31 March 2022.
10 February 2022, by


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Bug bounties for algorithmic harms? – a report from the Algorithmic Justice League

AJL researchers consider the question "How might we apply bug bounty programmes to areas beyond cybersecurity, including algorithmic harm?"
09 February 2022, by

Machine learning fine-tunes graphene synthesis

Rice University lab uses computer models to advance graphene synthesis process.
08 February 2022, by

Our monthly digest now available in video form

You can now catch up on the month's news in our short video summarising events past.
07 February 2022, by

Augmented Humanity podcast: Indigenous AI featuring Michael Running Wolf

In this episode, Michael Running Wolf talks about methods and approaches, ecology, partnerships and trust, avoiding language Darwinism, and more.
04 February 2022, by

Sequence modeling solutions for reinforcement learning problems

We tackle large-scale reinforcement learning problems with the toolbox of sequence modeling.
03 February 2022, by

What is AI? Stephen Hanson in conversation with Geoff Hinton

In this conversation, Stephen Hanson and Geoff Hinton discuss neural networks, backpropagation, overparameterization, digit recognition, brain imaging, syntax and semantics, Winograd sentences, and more.
02 February 2022, by

Hot papers on arXiv from the past month: January 2022

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

AIhub monthly digest: January 2022 – new voices in AI, bug bounties, and arXiv hits two million

Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
31 January 2022, by

Pulling back the curtain on neural networks

“Explainable AI is not something you produce or consume. It’s an educational experience, and the bottom line is that we need to focus on helping the humans to solve problems.”
28 January 2022, by

#NeurIPS2021 invited talks round-up: part three – the collective intelligence of army ants

In this third round-up of the invited talks at NeurIPS 2021, we cover the final talk by Radhika Nagpal.
27 January 2022, by
podcast

New voices in AI: NLP for low resource languages, with David Adelani

We talk to David Adelani about his work in NLP for low resource languages.
26 January 2022, by

AI powers autonomous materials discovery

Integrating robotic materials synthesis and a hierarchy of AI methods to map out processing phase diagrams.
25 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

Introducing new voices in AI

We share the news on our latest series
20 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

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







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