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Riemannian score-based generative modelling

The winners of a NeurIPS 2022 best paper award write about their work on generative modelling.
01 February 2023, by

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

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

UrbanTwin: seeing double for sustainability

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

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

We introduce a model that detects all objects that a phrase mentions.
23 January 2023, by

Applying AI to pathology reveals insights in endometrial cancer diagnostics

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

Natural Language Processing for low-resource languages

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


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Using machine learning to forecast amine emissions

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

Using machine learning to improve the toxicity assessment of chemicals

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.
04 January 2023, by

Artificial intelligence in 2022: the AIhub roundup

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.
30 December 2022, by

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

What lessons can be learned as this technology continues its trajectory?
27 December 2022, by

AI holidays 2022

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

AIhub blog post highlights 2022

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

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

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

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

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







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