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A survey on knowledge-enhanced multimodal learning

and   15 Feb 2023
Maria Lymperaiou and Giorgos Stamou survey the state of the knowledge-enhanced visiolinguistic (KVL) learning field.

Fully autonomous real-world reinforcement learning with applications to mobile manipulation

  07 Feb 2023
A system that learns to clean up a room directly with a real robot via continual learning.

Riemannian score-based generative modelling

  01 Feb 2023
The winners of a NeurIPS 2022 best paper award write about their work on generative modelling.
monthly digest

AIhub monthly digest: January 2023 – low-resource language projects, Earth’s nightlights and a Lanfrica milestone

  31 Jan 2023
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.

UrbanTwin: seeing double for sustainability

  26 Jan 2023
A digital twin for urban infrastructure: assessing the effectiveness of climate-related policies and actions.

Bottom-up top-down detection transformers for open vocabulary object detection

  23 Jan 2023
We introduce a model that detects all objects that a phrase mentions.

Applying AI to pathology reveals insights in endometrial cancer diagnostics

  19 Jan 2023
Interpretable deep learning model to predict the molecular classification of endometrial cancer from slide images.

Natural Language Processing for low-resource languages

  18 Jan 2023
We highlight some of the NLP recent work that focusses on low-resource languages.

Using machine learning to forecast amine emissions

  16 Jan 2023
Scientists at EPFL and Heriot-Watt University have developed a machine learning approach to predict potentially harmful amine emissions from carbon-capturing plants.

Using machine learning to improve the toxicity assessment of chemicals

  04 Jan 2023
Researchers from the University of Amsterdam, the University of Queensland and the Norwegian Institute for Water Research, have developed a strategy for assessing the toxicity of chemicals using machine learning.

Artificial intelligence in 2022: the AIhub roundup

  30 Dec 2022
As 2022 draws to a close, we look back on some of the notable research developments, awards, news and policy in the world of artificial intelligence.

Text-to-image AI: powerful, easy-to-use technology for making art – and fakes

  27 Dec 2022
What lessons can be learned as this technology continues its trajectory?

AI holidays 2022

  23 Dec 2022
Here's a sample of AI-themed holiday videos, images and stories to get you into the spirit this season.

AIhub blog post highlights 2022

  21 Dec 2022
As the year draws to a close, we take a look back at some of our favourite blog posts from researchers.
monthly digest

AIhub monthly digest: December 2022 – AI around the world, teleoperation, and multilingual translation

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

Benchmarking quality-diversity algorithms on neuroevolution for reinforcement learning

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

Causal confounds in sequential decision making

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

Estimating manipulation intentions to ease teleoperation

  01 Dec 2022
Introducing an intention estimation model that relies on both gaze and motion features.
monthly digest

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

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

Collaboration the key to realising the potential of AI

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

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.

AI system for live music accompaniment and improvisation

and   23 Nov 2022
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.

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

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

Predicting properties of complex metamaterials

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

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

  04 Nov 2022
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?

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

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

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

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

Machine learning predicts heat capacities of metal-organic frameworks

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

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

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

Accelerating laboratory automation through robot skill learning

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

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

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

New satellite mapping with AI can quickly pinpoint hurricane damage

  20 Oct 2022
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.

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

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






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