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Ethics in voice technologies
COMPRISE
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
AIhub
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?
Pursuit, University of Melbourne
15 Jul 2021
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
Texas A&M
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
The Conversation
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
COMPRISE
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
University of Amsterdam
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
Lucy Smith
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
Lucy Smith
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
ML@CMU
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
COMPRISE
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
Universiteit Leiden
07 Jun 2021
Three researchers from The Netherlands explain their work.
FLeet: putting machine learning in your pocket
EPFL
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
Lucy Smith
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
BAIR blog
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
ML@CMU
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...
An active machine learning method for discovering new semiconductors
Technical University Of Munich
17 May 2021
Searching for new organic semiconductors, the basis for OLEDs and solar cells.
The importance of hyperparameter optimization for model-based reinforcement learning
BAIR blog
12 May 2021
We discuss how model-based reinforcement learning is more susceptible to parameter tuning and how we can use AutoML.
Artificial intelligence could be used to triage patients suspected at risk of early stage oesophageal cancer
University of Cambridge
10 May 2021
Find out how Cambridge researchers are using deep-learning to assist pathologists.
Counterfactual predictions under runtime confounding
ML@CMU
07 May 2021
We propose a method for using offline data to build a prediction model that only requires access to the available subset of confounders at prediction time.
Hot papers on arXiv from the past month: April 2021
Lucy Smith
05 May 2021
What’s hot on arXiv? Here are the most tweeted papers that were uploaded onto arXiv during April 2021.
monthly digest
AIhub monthly digest: April 2021 – ethics, music, education and Westworld
Lucy Smith
04 May 2021
Welcome to our April 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.
Pretrained transformers as universal computation engines
BAIR blog
29 Apr 2021
Transformers have been successfully applied to a wide variety of modalities: natural language, vision, protein modeling, music, robotics, and more...
Studying biomolecules with deep-learning-enhanced nanoplasmonic technique
EPFL
27 Apr 2021
EPFL scientists have developed AI-enhanced nanosensors that let researchers track various kinds of biological molecules.
Quality education focus series round-up: teaching AI and using AI to improve teaching
Lucy Smith
26 Apr 2021
We summarise our focus series and highlight further interesting research in the field.
AAAI 2021 Spring Symposium on Implementing AI Ethics
Marija Slavkovik
23 Apr 2021
Marija Slavkovik takes a look at AI ethics and reports on the recent AAAI symposium.
Tilted empirical risk minimization
ML@CMU
21 Apr 2021
We describe our work in tilted empirical risk minimization, which provides a unified view on the deficiencies of empirical risk minimization.
Maximum entropy RL (provably) solves some robust RL problems
BAIR blog
14 Apr 2021
It is important to learn policies that are robust to changes in environments.
Self-supervised policy adaptation during deployment
BAIR blog
09 Apr 2021
Our method learns a task in a fixed, simulated environment and quickly adapts to new environments (e.g. the real world) solely from online interaction during deployment.
By Nicklas Hansen and Xiaol...
Detection of marine litter using deep learning
Lucy Smith
07 Apr 2021
Understanding the problem of plastics in the oceans.
Hot papers on arXiv from the past month: March 2021
Lucy Smith
01 Apr 2021
What’s hot on arXiv? Here are the most tweeted papers that were uploaded onto arXiv during March 2021.
Results are powered by Arxiv Sanity Preserver....
monthly digest
AIhub monthly digest: March 2021
Lucy Smith
31 Mar 2021
Welcome to our March 2021 monthly digest where you can catch up with any AIhub stories you may have missed, get the low-down on recent conferences, and much more.
#NeurIPS2020 invited talks round-up: part three – causal learning and the genomic bottleneck
Lucy Smith
26 Mar 2021
We summarise the plenaries from Marloes Maathuis and Anthony M Zador.
An inferential perspective on federated learning
ML@CMU
22 Mar 2021
We present a probabilistic perspective that generalizes and improves upon federated optimization and enables a new class of efficient federated learning algorithms.
Michael Wooldridge: Talking to the public about AI – #EAAI2021 invited talk
Lucy Smith
17 Mar 2021
Michael shares lessons learnt from his science communication experiences.
Climate action focus series round-up – interviews, research summaries, webinars and more
Lucy Smith
16 Mar 2021
In this summary article we highlight some of work at the intersection of AI and climate science.
