AIhub monthly digest: February 2023 – attending AAAI, awards galore, and GPT-3 for 5-minute crafts

Deep learning tool boosts X-ray imaging resolution with application to hydrogen fuel cells

#AAAI2023 invited talk: Manuela Veloso on experience-based insights from AI in robotics and AI in finance

AI can track bees on camera. Here’s how that will help farmers

Researchers develop machine learning model to improve Amazon carbon storage estimates

#AAAI2023 invited talk: Tuomas Sandholm on organ exchanges

The fight against antibiotic resistance is growing more urgent, but artificial intelligence can help

The Machine Ethics Podcast: 2022 in review with Olivia Gambelin

#AAAI2023 tweet round-up: the conference in summary

A survey on knowledge-enhanced multimodal learning

Forthcoming machine learning and AI seminars: February 2023 edition

Edith Elkind wins the 2023 ACM/SIGAI Autonomous Agents Research Award

Congratulations to the #AAAI2023 best paper winners

Congratulations to the #AAAI2023 award winners

#AAAI2023 tweet round-up from the first two days

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

Radical AI podcast: featuring Deep Dhillon

What’s coming up at #AAAI2023?

Science communication for AI researchers: our tutorial at #AAAI2023

Riemannian score-based generative modelling

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

The Good Robot Podcast: featuring Abeba Birhane

All questions answered: how CLAIRE shapes the future of AI in Europe

UrbanTwin: seeing double for sustainability

Counterfactual explanations for land cover mapping: interview with Cassio Dantas

AI and the future of work: 5 experts on what ChatGPT, DALL-E and other AI tools mean for artists and knowledge workers

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

The Good Robot Podcast: featuring Arjun Subramonian

Applying AI to pathology reveals insights in endometrial cancer diagnostics

Natural Language Processing for low-resource languages

Everyday AI podcast series

Using machine learning to forecast amine emissions

The Good Robot Podcast: featuring Su Lin Blodgett

AIhub coffee corner: Large language models for scientific writing

New voices in AI: machine learning insights on Earth’s nightlights with Srija Chakraborty

ROBUST AI programme receives additional €25 million in funding from Dutch Research Council

Forthcoming machine learning and AI seminars: January 2023 edition

The Machine Ethics Podcast: Algorithms with social impact with Mitchel Ondili

Interview with Katharina Weitz and Chi Tai Dang: Do we need explainable AI in companies?

Using machine learning to improve the toxicity assessment of chemicals

Artificial intelligence in 2022: the AIhub roundup

AIhub interview highlights 2022

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

AI holidays 2022

A year of new voices in AI

AIhub blog post highlights 2022

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

CLAIRE and euRobotics: all questions answered on humanoid robotics

Interview with Rose Nakasi: using machine learning and smartphones to help diagnose malaria

Benchmarking quality-diversity algorithms on neuroevolution for reinforcement learning

Optics lens design for privacy-preserving scene captioning: interview with Carlos Hinojosa

Forthcoming machine learning and AI seminars: December 2022 edition

AIhub coffee corner: Is AI-generated art devaluing the work of artists?

Affinity group round-up from NeurIPS 2022

Learning an artificial language for knowledge-sharing in multilingual translation

Causal confounds in sequential decision making

The Machine Ethics Podcast: The Politics of AI with Mark Coeckelbergh

Call for AI-themed holiday videos, art and more

Estimating manipulation intentions to ease teleoperation

#NeurIPS2022 outstanding paper – Gradient descent: the ultimate optimizer

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

Collaboration the key to realising the potential of AI

Watch the keynotes from the European Big Data Value Forum

Practical complexity of optimal play in games for two

AI system for live music accompaniment and improvisation

Counterfactual explanations for reinforcement learning: interview with Jasmina Gajcin

Using machine learning to help generalize automated chemistry

Learning to efficiently plan robust frictional multi-object grasps: interview with Wisdom Agboh

The Good Robot Podcast: featuring Lorraine Daston

The lifecycle of “facts”: a survey of social bias in knowledge graphs – interview with Angelie Kraft

#IROS2022 best paper awards

Using AI to help process earth observation data

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

Fancy writing for AIhub? We are recruiting ambassadors

A survey of mixed-precision neural networks

Predicting properties of complex metamaterials

Forthcoming machine learning and AI seminars: November 2022 edition

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

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

Radical AI podcast: featuring Seyi Akiwowo

Interview with Teresa Salazar: Developing fair federated learning algorithms

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

Machine learning predicts heat capacities of metal-organic frameworks

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

Accelerating laboratory automation through robot skill learning

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

Tackling diverse tasks with neural architecture search

The TAILOR roadmap for trustworthy AI

New satellite mapping with AI can quickly pinpoint hurricane damage

Interview with Nina Wiedemann and Valentin Wüest: developing a gradient-based control method for robotic systems

Trustworthy AI through regulation? Sketching the European approach

Tracking any pixel in a video

Launch of the AI Standards Hub

Better understanding of cellular metabolism with the help of AI

Interview with Steven Kolawole: A sign-to-speech model for Nigerian sign language

Applying explainable AI algorithms to healthcare

Forthcoming machine learning and AI seminars: October 2022 edition

Radical AI podcast: featuring Rebecca Finlay

European Union liability rules for artificial intelligence

United States blueprint for an AI bill of rights

What happens when we mix multi-agent systems, robotics, software engineering, and verification and validation?

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

Keeping learning-based control safe by regulating distributional shift

Bipedal robot achieves Guinness World Record in 100 metres

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

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

The Machine Ethics Podcast: Rights, trust and ethical choice with Ricardo Baeza-Yates

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

State of the art in the RoboCup Humanoid League

New voices in AI: environmental conservation

#TalkDataToMe – a new series from The Alan Turing Institute

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

RoboCup humanoid league: Interview with Jasper Güldenstein

Radical AI podcast: featuring Tung-Hui Hu

Reverse engineering the NTK: towards first-principles architecture design

Forthcoming machine learning and AI seminars: September 2022 edition

Algorithmically finding ways to synthesize new medicine

GRACE Podcast: Dr Harriett Jernigan interviews Dr Nakeema Stefflbauer

Galaxies on graph neural networks

#IJCAI invited talk: engineering social and collaborative agents with Ana Paiva

Mixing tokens with Fourier transforms to improve the efficiency of large language models