AIhub monthly digest: April 2024 – explainable AI, access to compute, and noughts and crosses

The Machine Ethics podcast: Good tech with Eleanor Drage and Kerry McInerney

AIhub coffee corner: Open vs closed science

Are emergent abilities of large language models a mirage? – Interview with Brando Miranda

We built an AI tool to help set priorities for conservation in Madagascar: what we found

Interview with Mike Lee: Communicating AI decision-making through demonstrations

Machine learning viability modelling of vertical-axis wind turbines

The Machine Ethics podcast: What is AI? Volume 3

DataLike: Interview with Tẹjúmádé Àfọ̀njá

Beyond the mud: Datasets, benchmarks, and methods for computer vision in off-road racing

Interview with Bálint Gyevnár: Creating explanations for AI-based decision-making systems

2024 AI Index report published

#AAAI2024 workshops round-up 4: eXplainable AI approaches for deep reinforcement learning, and responsible language models

Deep learning-powered system maps corals in 3D

Is compute the binding constraint on AI research? Interview with Rebecca Gelles and Ronnie Kinoshita

Forthcoming machine learning and AI seminars: April 2024 edition

Modeling extremely large images with xT

Going top shelf with AI to better track hockey data

The moderating effect of instant runoff voting

Navigating the new era of commerce: Exploring the relationship between anthropomorphism in voice assistants and user safety perception

AIhub monthly digest: March 2024 – human-robot interaction, serverless computing, and deep reinforcement learning for communication networks

Interview with Francesca Rossi – talking sustainable development goals, AI regulation, and AI ethics

Datalike: Interview with Mariza Ferro

Interview with Amine Barrak: serverless computing and machine learning

AI UK 2024: Camden Council case study

How will generative artificial intelligence affect political advertising in 2024?

Using machine learning to discover stiff and tough microstructures

Interview with Raffaele Galliera: Deep reinforcement learning for communication networks

Machine learning helps improve quality assurance for wind turbines

#AAAI2024 workshops round-up 3: human-centric representation learning, and AI to accelerate science and engineering

The shift from models to compound AI systems

Interview with Aaquib Tabrez: explainability and human-robot interaction

The Good Robot Podcast: Featuring Shannon Vallor

#AAAI2024 workshops round-up 2: AI for credible elections, and are large language models simply causal parrots?

Forthcoming machine learning and AI seminars: March 2024 edition

Happy International Women’s Day!

Datalike: Interview with Angelique Yameogo

#AAAI2024 workshops round-up 1: Cooperative multi-agent systems decision-making and learning

Catholijn Jonker wins the 2024 ACM/SIGAI Autonomous Agents Research Award

The Machine Ethics podcast: New forms of story telling with Guy Gadney

#AAAI2024 invited talk: Milind Tambe – using ML for social good

AIhub monthly digest: February 2024 – causal relations in text, applied reinforcement learning, and AAAI 2024

#AAAI2024 in tweets: part two

Unlocking the potential of entity-centric knowledge graphs: transforming healthcare and beyond

Congratulations to the #AAAI2024 outstanding paper winners

#AAAI2024 in tweets: part one

Congratulations to the #AAAI2024 award winners

How to speak to the public about AI – a Michael Wooldridge talk at #AAAI2024 today

Interview with Célian Ringwald: Natural language processing and knowledge graphs

AI will let us read ‘lost’ ancient works in the library at Herculaneum for the first time

Datalike: Interview with Pratibha V Shambhangoudar

What’s coming up at #AAAI2024?

Interview with Elizabeth Ondula: Applied reinforcement learning

Forthcoming machine learning and AI seminars: February 2024 edition

The Good Robot Podcast: Featuring Emily M. Bender and Alex Hanna

Long-term monitoring of bird flocks in the wild – interview with Kshitiz

RoboChem: a platform for optimising photochemical processes

A list of resources, articles, and opinion pieces relating to generative AI models – February 2024 update

Researchers train robotic sensor to read braille at high speed

Chameleon AI program classifies objects in satellite images faster

Interview with Fiona Anting Tan: Researching causal relations in text

The Good Robot Podcast: Melissa Heikkilä on why the stories we tell about AI matter

AIhub monthly digest: January 2024 – closed-loop robot planning, crowdsourced clustering, and trustworthiness in GPT models

Large language models validate misinformation, according to research

“Legal AI is a bit of a Wild West right now”

We used AI and satellite imagery to map ocean activities that take place out of sight, including fishing, shipping and energy development

Interview with Bo Li: A comprehensive assessment of trustworthiness in GPT models

Forthcoming machine learning and AI seminars: January 2024 edition

The Good Robot Podcast: Rebecca Woods on large language models, language and meaning

The Machine Ethics podcast: Avoidable misery with Adam Braus

Crowdsourced clustering via active querying

#NeurIPS2023 invited talk: Lora Aroyo on data quality and diversity

Theoretical remarks on feudal hierarchies and reinforcement learning

We and AI free online course “Living with AI” is back – tell your friends!

On noisy evaluation in federated hyperparameter tuning

Interview with Changhoon Kim – enhancing the reliability of image generative AI

#NeurIPS2023 invited talk: Linda Smith on young humans and self-generated experience

Generating physically-consistent local-scale climate change projections

Agent Teaming in Mixed-Motive Situations – an AAAI Fall symposium

The Truth about AI – 2023 Royal Institute Christmas Lectures with Mike Wooldridge

Interview with Christopher Chandler: closed-loop robot reactive planning

Image recognition accuracy: An unseen challenge confounding today’s AI

Ghostbuster: detecting text ghostwritten by large language models

AIhub interview highlights 2023

2023 was the year of generative AI. What can we expect in 2024?

The Good Robot Podcast: featuring Jess Wade on rewriting Wikipedia

AI holidays 2023

The Machine Ethics Podcast: Work, wellness and creativity with Harriet Pellereau

AIhub monthly digest: December 2023 – attending NeurIPS, generating 3d models of blood vessels, and the Wizard of AI

AIhub blogpost highlights 2023

#NeurIPS2023 in tweets – part two

Deep learning model to help detect plastic in oceans

Asymmetric certified robustness via feature-convex neural networks

#NeurIPS2023 in tweets – part one

#NeurIPS2023 outstanding papers

Assured and Trustworthy Human-centered AI – an AAAI Fall symposium

What’s coming up at #NeurIPS2023?

Interview with Paula Feldman: generating 3d models of blood vessels

Experimenting with generative AI in the classroom

The Wizard of AI – a film by Alan Warburton

Forthcoming machine learning and AI seminars: December 2023 edition

Call for AI-themed holiday videos, art, poems and more

AIhub monthly digest: November 2023 – deconstructing sentiment analysis, few-shot learning for medical images, and Angry Birds structure generation

An introduction to science communication at #NeurIPS2023

Co-creating better images of AI

The power of collaboration: power grid control with multi-agent reinforcement learning

Goal representations for instruction following

A comprehensive survey on rare event prediction

Better images of AI can support AI literacy for more people

The Machine Ethics Podcast: the state of AI ethics with Alice Thwaite

An approach for automatically determining the possible actions in computer game states

Deep learning model trained to identify least green homes

Counterfactuals in explainable AI: interview with Ulrike Kuhl

The Good Robot Podcast: featuring Giada Pistilli on good corporations, AI ethics and value pluralism

CLAIRE and euRobotics join forces on European AI “moonshot” proposal

Pre-trained language models for music captioning and query response

Forthcoming machine learning and AI seminars: November 2023 edition

Few-shot learning for medical image analysis

Utilizing generative adversarial networks for stable structure generation in Angry Birds

AI Fringe – watch on demand

A critical survey towards deconstructing sentiment analysis: Interview with Pranav Venkit and Mukund Srinath

AIhub coffee corner: Regulation of AI