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“Connection with the past”: using AI to help find and preserve Europe’s historical smells

  09 Sep 2021
An ambitious project aims to investigate how scents defined communities in the past.

Strategic instrumental variable regression: recovering causal relationships from strategic responses

  08 Sep 2021
How can we infer causal relationships in data while employing a decision-making model?

Researchers develop real-time lyric generation technology to inspire song writing

  06 Sep 2021
LyricJam, a real-time system that uses machine learning to generate lyric lines for live instrumental music.

Energy as a fundamental right

Finding the optimum amount of free electricity to tackle energy poverty.

Hot papers on arXiv from the past month: August 2021

  01 Sep 2021
What’s hot on arXiv? Here are the most tweeted papers that were uploaded onto arXiv during August 2021.
monthly digest

AIhub monthly digest: August 2021 – IJCAI, RoboCupJunior, and happy birthday to arXiv

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

#IJCAI2021 invited talks round-up 2: system two deep learning, and knowledge representation for generalisation

  27 Aug 2021
In the second in our series of summaries of the invited talks from IJCAI2021, we cover the talks by Yoshua Bengio and Michael Thielscher.

#IJCAI2021 invited talks round-up 1: fairness in multiwinner voting, and combining AI and robotics to augment human abilities

  25 Aug 2021
In the first in our series of summaries of the invited talks from IJCAI2021, we cover the talks by Edith Elkind and Masahiro Fujita.

Universal weakly supervised segmentation by pixel-to-segment contrastive learning

  17 Aug 2021
Can a machine learn from a few labeled pixels to predict every pixel in a new image?

Machine learning technique to help keep your personal data your own

A new machine learning model puts ‘noise’ into personal images to stop artificial intelligence programs from exploiting and misusing your data.

A unifying, game-theoretic framework for imitation learning

  13 Aug 2021
In this post we explore imitation learning and consider online, offline, and interactive methods.

The surprising effectiveness of PPO in cooperative multi-agent games

  06 Aug 2021
A study of cooperative multi-agent tasks, in which a group of agents is trying to optimize a shared reward function.

Protecting user privacy with voice conversion

  04 Aug 2021
The COMPRISE project team discuss how to preserve privacy in automatic speech recognition systems.

Artificial intelligence speeds land-use classification

  03 Aug 2021
Method can distinguish complex land categories using infrared images and colour photos.

Hot papers on arXiv from the past month: July 2021

  02 Aug 2021
What’s hot on arXiv? Here are the most tweeted papers that were uploaded onto arXiv during July 2021.
monthly digest

AIhub monthly digest: July 2021 – ICML, protein folding for all, and AI Song Contest winner announced

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

Use of AI to fight COVID-19 risks harming “disadvantaged groups”, experts warn

  28 Jul 2021
Rapid deployment of AI to tackle coronavirus must still go through ethical checks and balances.

#ICML2021 invited talk round-up 2: randomized controlled trials, encoding speech, and molecular science

  27 Jul 2021
In our second round-up, we summarise the talks from Esther Duflo, Edward Chang and Cecilia Clementi.

Document grounded generation

  26 Jul 2021
A method for generating text when given a context and a source document.

#ICML2021 invited talk round-up 1: drug discovery and cryospheric science

  21 Jul 2021
In this post, we summarise the first two invited talks from ICML, given by Daphne Koller and Xiao Cunde.

Ethics in voice technologies

  20 Jul 2021
This article from the COMPRISE project considers some of the ethical implications of voice technologies.

Ethics and AI: tackling biases hidden in big data

  16 Jul 2021
Find out more about Nello Cristianini's research into big data and biases.

What do pilots think of having more AI in the cockpit?

Pilots are keen to explore using new technology in the cockpit but they also need to be central in the design of any new systems.

Code^Shift lab aims to confront bias in AI and machine learning

  13 Jul 2021
The new Texas A&M initiative brings together an interdisciplinary group of experts.

Four ways artificial intelligence is helping us learn about the universe

  07 Jul 2021
Some of the biggest challenges in astronomy lie in how we’re going to study all the data we’re collecting.

The problem of complete, irreversible data anonymisation

  06 Jul 2021
Read about the challenges and the latest research into data anonymisation.

“I am here to assist you today” – how we respond to chatbots

  05 Jul 2021
Carolin Ischen studies how our perceptions of AI and our experience with chatbots influence our attitudes and behaviour.

Hot papers on arXiv from the past month: June 2021

  02 Jul 2021
What’s hot on arXiv? Here are the most tweeted papers that were uploaded onto arXiv during June 2021.
monthly digest

AIhub monthly digest: June 2021 – RoboCup, comics, and the return of the AI song contest

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

See, Hear, Explore: curiosity via audio-visual association

  29 Jun 2021
We propose a formulation of curiosity that encourages the agent to explore novel associations between modalities, such as audio and vision.

Cost-effective speech-to-text with weakly- and semi-supervised training

  28 Jun 2021
Find out how the COMPRISE project are using semi-supervised methods to train speech-to-text systems.

AI in port and maritime research

  07 Jun 2021
Three researchers from The Netherlands explain their work.

FLeet: putting machine learning in your pocket

  02 Jun 2021
Using mobile devices to conduct machine learning as part of a distributed network.
monthly digest

AIhub monthly digest: May 2021 – ocean studies, defining AI, and philosophy of mind

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

Learning what to do by simulating the past

  24 May 2021
We propose an algorithm that can learn a policy without any human supervision or reward function.

A learning theoretic perspective on local explainability

  18 May 2021
By Vaishnavh Nagarajan and Jeffrey Li [latexpage] Fig 1: A formal relationship between interpretability and complexity. Going from left to right, we consider increasingly complex functions. As...






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