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Benchmarking quality-diversity algorithms on neuroevolution for reinforcement learning

We propose to apply QD to deep reinforcement learning tasks, and introduce a set of benchmarks to facilitate the comparison of approaches.
14 December 2022, by and

Causal confounds in sequential decision making

Using techniques from causal inference, we derive provably correct and scalable algorithms for sequential decision making in certain settings.
06 December 2022, by

Estimating manipulation intentions to ease teleoperation

Introducing an intention estimation model that relies on both gaze and motion features.
01 December 2022, by

AIhub monthly digest: November 2022 – musical improvisation, two-player games, and interviews galore

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

Collaboration the key to realising the potential of AI

We are currently far from achieving full autonomy for rescue robotic systems. Consequently, well-functioning collaboration between human and machine is crucial.
28 November 2022, by

Practical complexity of optimal play in games for two

Tomáš Peitl, Benjamin Böhm and Olaf Beyersdorff write about their IJCAI2022 award-winning paper on Quantified Conflict-Driven Clause Learning.
24 November 2022, by , and


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AI system for live music accompaniment and improvisation

Musicians can perform together with LyricJam Sonic to explore connections between their live music and past recordings to generate new original compositions in real-time.
23 November 2022, by and

Studying AI recruitment tools: race, gender, and AI’s “eradication of difference”

Claims AI can boost workplace diversity are ‘spurious and dangerous’, researchers argue.
11 November 2022, by

Predicting properties of complex metamaterials

A research team tested how well machine learning can predict the properties of combinatorial mechanical metamaterials.
08 November 2022, by

How shoring up drones with artificial intelligence helps surf lifesavers spot sharks at the beach

Australian surf lifesavers are increasingly using drones to spot sharks at the beach before they get too close to swimmers. But just how reliable are they?
04 November 2022, by

The White House’s “AI Bill of Rights” outlines five principles to make artificial intelligence safer, more transparent and less discrim

Christopher Dancy takes a look at the five principles laid out in the USA AI Bill of Rights.
03 November 2022, by

Using machine learning to improve all-in-one miniature spectrometers

An international team of researchers have designed a miniaturised spectrometer that improves on current resolution records.
31 October 2022, by

Machine learning predicts heat capacities of metal-organic frameworks

Chemical engineers have developed a machine-learning model that can accurately predict the heat capacity of the versatile metal-organic framework materials.
28 October 2022, by

AIhub monthly digest: October 2022 – Nigerian sign language, a simple voting rule, and robotic control algorithms

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

Accelerating laboratory automation through robot skill learning

We introduce model-free reinforcement learning to the laboratory task of sample scraping.
26 October 2022, by

The potential update on the protection of workers through the AI Act

A discussion of the significant legal scrutiny and numerous safeguards most workers’ data collection and processing activities would need to meet, as falling within the scope of high-risk AI systems.

Tackling diverse tasks with neural architecture search

We developed a Neural Architecture Search method that generates and trains task-specific convolutional neural networks.
24 October 2022, by

New satellite mapping with AI can quickly pinpoint hurricane damage

Using satellite images from before a storm and real-time images, together with machine learning, to create a disaster monitoring system that can map damage.
20 October 2022, by

Trustworthy AI through regulation? Sketching the European approach

Can the European AI Act mitigate the ethical and legal concerns raised by AI technologies?

Tracking any pixel in a video

We propose Persistent Independent Particles (PIPs), a new particle video method to track pixels in a video.
17 October 2022, by

Better understanding of cellular metabolism with the help of AI

EPFL scientists have released a deep-learning model for metabolic processes.
13 October 2022, by

Applying explainable AI algorithms to healthcare

Ana Lucic has developed a framework for explaining predictions of machine learning models that could improve heart examinations for underserved communities.
11 October 2022, by

Lizard in your luggage? We’re using artificial intelligence to detect wildlife trafficking

Our research shows the potential for new technology to detect illegal wildlife in luggage or mail.
03 October 2022, by

Keeping learning-based control safe by regulating distributional shift

We propose a new framework to reason about the safety of a learning-based controller with respect to its training distribution.
30 September 2022, by

#IJCAI2022 distinguished paper – Plurality veto: A simple voting rule achieving optimal metric distortion

How can we create a voting system that best represents the preferences of the voters?
28 September 2022, by

AIhub monthly digest: September 2022 – environmental conservation, retrosynthesis, and RoboCup

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

Recurrent model-free RL can be a strong baseline for many POMDPs

Considering an approach for dealing with realistic problems with noise and incomplete information.
23 September 2022, by

State of the art in the RoboCup Humanoid League

Summarising the different software and hardware components used by teams competing in the KidSize Humanoid League.
22 September 2022, by and

Algorithm learns to correct 3D printing errors for different parts, materials and systems

Engineers from the University of Cambridge have developed a machine learning algorithm that can detect and correct a wide variety of different errors in real time.
16 September 2022, by

Reverse engineering the NTK: towards first-principles architecture design

We propose a paradigm for bringing some principle to the art of architecture design.
12 September 2022, by







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