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

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

Hot papers on arXiv from the past month: June 2021

What’s hot on arXiv? Here are the most tweeted papers that were uploaded onto arXiv during June 2021.
02 July 2021, by

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

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

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

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

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

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

AI in port and maritime research

Three researchers from The Netherlands explain their work.
07 June 2021, by

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FLeet: putting machine learning in your pocket

Using mobile devices to conduct machine learning as part of a distributed network.
02 June 2021, by

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

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

Learning what to do by simulating the past

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

A learning theoretic perspective on local explainability

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...
18 May 2021, by

An active machine learning method for discovering new semiconductors

Searching for new organic semiconductors, the basis for OLEDs and solar cells.

The importance of hyperparameter optimization for model-based reinforcement learning

We discuss how model-based reinforcement learning is more susceptible to parameter tuning and how we can use AutoML.
12 May 2021, by

Artificial intelligence could be used to triage patients suspected at risk of early stage oesophageal cancer

Find out how Cambridge researchers are using deep-learning to assist pathologists.
10 May 2021, by

Counterfactual predictions under runtime confounding

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.
07 May 2021, by

Hot papers on arXiv from the past month: April 2021

What’s hot on arXiv? Here are the most tweeted papers that were uploaded onto arXiv during April 2021.
05 May 2021, by

AIhub monthly digest: April 2021 – ethics, music, education and Westworld

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.
04 May 2021, by

Pretrained transformers as universal computation engines

Transformers have been successfully applied to a wide variety of modalities: natural language, vision, protein modeling, music, robotics, and more...
29 April 2021, by

Studying biomolecules with deep-learning-enhanced nanoplasmonic technique

EPFL scientists have developed AI-enhanced nanosensors that let researchers track various kinds of biological molecules.
27 April 2021, by

Quality education focus series round-up: teaching AI and using AI to improve teaching

We summarise our focus series and highlight further interesting research in the field.
26 April 2021, by

AAAI 2021 Spring Symposium on Implementing AI Ethics

Marija Slavkovik takes a look at AI ethics and reports on the recent AAAI symposium.
23 April 2021, by

Tilted empirical risk minimization

We describe our work in tilted empirical risk minimization, which provides a unified view on the deficiencies of empirical risk minimization.
21 April 2021, by

Maximum entropy RL (provably) solves some robust RL problems

It is important to learn policies that are robust to changes in environments.
14 April 2021, by

Self-supervised policy adaptation during deployment

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...
09 April 2021, by

Detection of marine litter using deep learning

Understanding the problem of plastics in the oceans.
07 April 2021, by

Hot papers on arXiv from the past month: March 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....
01 April 2021, by

AIhub monthly digest: March 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.
31 March 2021, by

#NeurIPS2020 invited talks round-up: part three – causal learning and the genomic bottleneck

We summarise the plenaries from Marloes Maathuis and Anthony M Zador.
26 March 2021, by

An inferential perspective on federated learning

We present a probabilistic perspective that generalizes and improves upon federated optimization and enables a new class of efficient federated learning algorithms.
22 March 2021, by

Michael Wooldridge: Talking to the public about AI – #EAAI2021 invited talk

Michael shares lessons learnt from his science communication experiences.
17 March 2021, by

Climate action focus series round-up – interviews, research summaries, webinars and more

In this summary article we highlight some of work at the intersection of AI and climate science.
16 March 2021, by




















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